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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Teknologi Dan Industri Pangan Jurnal Teknologi Industri Pertanian Jurnal Komunikasi Pembangunan Jurnal Pustakawan Indonesia Jurnal Sain Veteriner Buletin Peternakan Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Keteknikan Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Jurnal Pengkajian dan Pengembangan Teknologi Pertanian Jurnal Studi Komunikasi dan Media Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Jurnal PIKOM (Penelitian Komunikasi dan Pembangunan) JOIV : International Journal on Informatics Visualization Nyimak: Journal of Communication Matra Pembaruan: Jurnal Inovasi Kebijakan International Journal of Supply Chain Management Warta Penelitian Perhubungan JURNAL PANGAN Journal of Information System, Applied, Management, Accounting and Research Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pustakawan Indonesia
Kudang Boro Seminar
Department Of Mechanical And Biosystem Engineering, Faculty Of Agricultural Technology, IPB University, Bogor, 16680
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Specialty Coffee Traceability System Based on Information Technology (Case Study: CV Frinsa Agrolestari Supply Chain) Muyassar Allam Suyuthi; Kudang Boro Seminar; Sutrisno Suro Mardjan
Jurnal Keteknikan Pertanian Vol. 11 No. 1 (2023): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.011.1.116-127

Abstract

Kopi spesialti dikenal dengan kopi berkualitas tinggi yang memiliki cita rasa khas yang bervariasi tergantung dimana kopi tersebut ditanam. Pencatatan informasi pada rantai pasok kopi di Indonesia masih secara manual menggunakan kertas. Tujuan penelitian ini merancang sistem ketertelusuran untuk menjamin keaslian dan kualitas kopi spesialti sebagai pengganti sistem manual. Perancangan sistem ketertelusuran dalam studi ini dikembangkan berdasarkan studi kasus rantai pasok kopi Arabika Java Preanger di CV Frinsa Agrolestari, Pangalengan, Jawa Barat. Pengumpulan data dilakukan melalui observasi, wawancara, dan studi lapangan untuk mengidentifikasi rantai pasok dan karakteristik kopi spesialti. Metode perancangan sistem ketertelusuran menggunakan UML dan ER Diagram dipadukan dengan konsep CBIS (Computer Bassed Information System). Hasil penelitian menunjukkan bahwa faktor yang membentuk karakteristik kopi spesialti terjadi selama proses pra panen dan pasca panen, yaitu pencatatan buah kopi, pemanenan buah kopi masak merah, perambangan, kontrol kualitas pasca penggilingan, sortasi berdasarkan kepadatan, ukuran dan warna, serta kontrol kualitas biji kopi cacat primer dan sekunder. Kemudian merancang prototipe aplikasi ketertelusuran kopi spesialti berbasis website yang dapat diakses smartphone. Aktor yang terlibat dalam sistem yaitu petani, pengepul, pengolah, dan eksportir. Akuisisi data menggunakan QRCode (Quick Response Code) untuk mendukung sistem ketertelusuran.
Mendeteksi Anomali Termal Pada Prospek Panas Bumi Lahendong Menggunakan Aster TIR dan Landsat 8 Mohammad Aftaf Muhajir; Kudang Boro Seminar; Leopold Oscar Nelwan
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 13 No 3 (2023): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.13.3.494-503

Abstract

This study intends to determine geothermal anomalies area using remote sensing data in the form of Landsat 8 and ASTER satellite imagery data which have Thermal Infrared Sensor (TIRS). Through pre-processing like georeferencing, radiometric calibration, and atmospheric correction, the Landsat 8 TIRS and ASTER data were wont to invert the land surface temperature of the study area during the daytime and night time using the inversion of planck function and emissivity separation algorithm. Result shows the land surface temperatures during daytime and night time of four natural land cover —water, vegetation, built up area, and bare soil—were classified and analyzed. According to the results, vegetation and bare soil show relatively thermal anomalies during the day and comparatively cold anomalies during the night. Otherwise water shows relatively cold anomalies during the day and relatively thermal anomalies during the night. Meanwhile built up area shows relatively thermal anomalies during the day and cold anomalies during the night. Superimposed and calculating mean of the night and day surface temperature can adequately eliminate the relatively cold/thermal anomalies of land cover caused by solar radiation, thus effectively highlighting geothermal anomalies. Thus, Nine geothermal anomalies areas were successfully extracted.
Innovative Barn Cattle for Microclimate Management through the Misting System koekoeh santoso; Rani Audona; komariah komariah; Kudang Boro Seminar; Mokhamad Fakhrul Ulum
Buletin Peternakan Vol 47, No 4 (2023): BULETIN PETERNAKAN VOL. 47 (4) NOVEMBER 2023
Publisher : Faculty of Animal Science, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21059/buletinpeternak.v47i4.79464

Abstract

Cattle is meat-producing livestock of the large ruminant. The environmental conditions must remain in the thermoneutral zone because this affects livestock productivity. An environmental modification related to microclimate management is required through a misting system using a water sprinkler. The study was conducted in one of the barns of the Sekolah Peternakan Rakyat (SPR) Maju Bersama livestock group in Drokilo Village, Kedungadem District, Bojonegoro Regency, East Java. The purpose of this study was to analyze the microclimate management of the barn through the misting system in order to improve the physiological response of cattle. The variables observed were the air temperature, air humidity, Temperature Humidity Index (THI), respiratory frequency, heart rate, rectal temperature, and body surface temperature. Body surface temperatures were measured on the face, back, and rump. The analytical method used in this was unpaired T-test five replications. The results showed that the average microclimate data for barn cattle were: air temperature 27.40±0.59°C, air humidity 83.92±1.55%, and Temperature Humidity Index (THI) 79.59±1.06. The results showed that the average physiological response data for cattle were: heart rate 47.02±2.29 beats per minute, respiration rate 16.94±1.26 beats per minute, and rectal temperature 38.65±0.27°C. The results showed that the average body surface temperature data for the face was 37.03±0.38°C, the back was 36.33±0.59°C, and the rump was 36.28±0.68°C. The results showed that the treatment before and after the morning measurement water misting was significantly different (p<0.05) in all the observed variables. Water misting has the effect on decreasing the air temperature, humidity, Temperature Humidity Index (THI), respiratory rate, heart rate, body temperature, and rectal temperature.
The Development of an e-Traceability System for Cattle Delivery Chains Seminar, Kudang Boro; Aditya, Edit Lesa; Imantho, Harry; Purnama, Diki Gita; Yani, Ahmad; Cyrilla, Lucia
International Journal of Supply Chain Management Vol 9, No 5 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v9i5.4318

Abstract

Transparency of livestock supply chain management is still a significant problem in Indonesia due to the unavailability of data and information accessible by the stakeholders of cattle supply chains. It is difficult to obtain information for queries, monitoring, and control purposes at any node along cattle supply chains, and thus introducing some risks of insecurity and uncertainty of cattle conditions along the supply chains. Nowadays, consumers are getting smarter and more curious about selecting healthy and high-quality beef. This requires the provision of an easily and securely accessible traceability and transparency system. The aim of this research is to develop an e-traceability system for cattle supply chains. The proposed e-traceability system was developed on the basis of a web-platform that provides wide access and easy links to all actors within a cattle supply chain and stakeholders. All actors in the cattle supply chain need to be registered and the data related to cattles need to be recorded in the traceability system database for analytic and decision-making. The potential applicability of the developed e-traceability system are examined and demonstrated to highlight the benefits of the system in improving transparency and traceability cattle deliveries from land to table for better managerial tasks.
Tata Kelola Digital Layanan Lalu Lintas Jalan Tol di Indonesia: Studi Aplikasi Travoy Jasa Marga Setiawan, Mohamad Agus; Hartoyo; Seminar, Kudang Boro; Sartono, Bagus; Fitriati, Rachma
Matra Pembaruan: Jurnal Inovasi Kebijakan Vol 8 No 1 (2024)
Publisher : Research and Development Agency Ministry of Home Affairs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21787/mp.8.1.2024.1-16

Abstract

Digital transformation has transformed the governance approach into digital governance, essential in improving performance and service quality in various sectors, including the toll road industry. This article explores the implementation of digital governance in toll road traffic services in Indonesia. The research method uses a qualitative approach with data collection techniques through observation, literature studies, focus group discussions, and in-depth interviews with a study time of six (6) months from September 2023 to February 2024. The study results show that toll road users face various problems in toll road traffic services in Indonesia, such as severe traffic congestion, over-capacity rest areas, dirty toilets, lack of gas station facilities, and lack of information about congestion points and alternative routes. As an Indonesian state-owned enterprise engaged in toll road operations, PT. Jasa Marga Tbk. launched the Travoy application to provide practical solutions for toll road users to get the necessary information services, facilitate the search for rest areas, and reduce congestion by managing traffic distribution. The study results confirm the importance of continued investment in digital technology and effective data processing to ensure the satisfaction and convenience of future toll road users.
Sensemaking of Stakeholder Identity Construction in Determining Potential Social Assistance Recipients Veranus Sidharta; Djuara P. Lubis; Sarwititi Sarwoprasodjo; Kudang Boro Seminar
Nyimak: Journal of Communication Vol 8, No 1 (2024): Nyimak: Journal of Communication
Publisher : Faculty of Social and Political Science, Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/nyimak.v8i1.10608

Abstract

Implementation of the social assistance policy program to determine social assistance recipients in the context of development communication involves stakeholder action in the sensemaking process as an effort to achieve a common understanding in determining who is worthy of receiving social assistance. Previous research stated that the problems that still occur today are weak communication and coordination between institutions, distribution of social assistance that does not match targets, unclear distribution mechanisms and data on social assistance recipients that are not in sync, lack of integration of one Indonesian data, misidentification, and neglect of groups. vulnerable, deceased social assistance recipients are still registered, identity of social assistance recipients is not registered in DTKS or SIKS-NG, problematic social assistance recipients are still registered, NIK is invalid, inactive social assistance recipients still receive assistance, multiple social assistance recipients. The aim of this research is to understand the sensemaking process used by stakeholders in determining potential social assistance recipients. The approach used in this research is descriptive qualitative using a constructivist paradigm and case study design. The research results show the important role of identity construction of local leaders, especially village heads, in data management and distribution of social assistance. Through a reflective and participatory approach, local leaders can ensure the accuracy and honesty of data on social assistance recipients, as well as increase the overall effectiveness of the social assistance program. The results of this research offer a new approach in determining social assistance recipients called sensemaking.Keywords: Development communication, identity construction, sensemakingABSTRAKPelaksanaan program kebijakan bantuan sosial untuk menentukan penerima bansos dalam konteks komunikasi pembangunan melibatkan tindakan pemangku kepentingan pada proses sensemaking sebagai upaya mencapai pemahaman bersama dalam menentukan siapa yang layak penerima bansos. Penelitian sebelumnya menyatakan, permasalahan yang masih terjadi hingga saat ini adalah lemahnya komunikasi dan koordinasi antar lembaga, penyaluran bansos yang tidak sesuai target sasaran, ketidakjelasan mekanisme penyaluran dan data penerima bansos yang tidak sinkron, kurangnya integrasi satu data indonesia, kesalahan identifikasi dan pengabaian terhadap kelompok rentan, penerima bansos meninggal masih terdaftar, identitas penerima bansos tidak terdaftar dalam DTKS atau SIKS-NG, penerima bansos bermasalah tetap terdaftar, NIK tidak valid, penerima bansos tidak aktif tetap menerima bantuan, penerima bansos ganda. Adapun tujuan dari penelitian ini adalah untuk memahami proses sensemaking yang digunakan pemangku kepentingan dalam menentukan calon penerima bansos. Pendekatan yang digunakan dalam penelitian ini adalah deskriptif kualitatif dengan menggunakan paradigma konstruktivis dan desain studi kasus. Hasil penelitian menunjukkan, pentingnya peran konstruksi identitas pemimpin lokal, terutama kepala desa, dalam tata kelola data dan penyaluran bansos. Melalui pendekatan reflektif dan partisipatif, pemimpin lokal dapat memastikan keakuratan dan kejujuran data penerima bansos, serta meningkatkan efektivitas program bansos secara keseluruhan. Hasil penelitian ini menawarkan pendekatan baru dalam penentuan penerima bansos yang disebut sensemaking.Kata Kunci: Komunikasi pembangunan, konstruksi identitas, sensemaking
Sistem Pendukung Keputusan Pemilihan Buah Dan Sayur Sebagai Pendukung Smart E-Commerce Muliati, Vika Febri; Seminar, Kudang Boro; Martianto, Drajat
Journal of Information System, Applied, Management, Accounting and Research Vol 8 No 1 (2024): JISAMAR (December-February 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v8i1.1400

Abstract

Permasalahan yang sering terjadi dalam mengkonsumsi makanan adalah konsumsi gizi lebih atau kurang. Konsumsi buah dan sayur dapat menjadi sumber dari gizi untuk mencapai pola makan dengan gizi seimbang. Buah dan sayur merupakan sumber dari vitamin, mineral serta serat yang dapat membantu manusia dalam mengkonsumsi makanan secara seimbang. Kurangnya pengetahuan tentang buah dan sayur yang cocok untuk dikonsumsi serta kurangnya pengetahuan tentang kandungan gizi yang ada pada buah dan sayur menjadi faktor utama masih rendahnya konsumsi buah dan sayur. Tujuan dari penelitian ini adalah membangun sebuah sistem rekomendasi buah dan sayur yang dapat membantu konsumen dalam memilih buah dan sayur yang cocok berdasarkan umur dan preferensi konsumen. Penelitian ini menggunakan ontologi sebagai knowledge base dan metode profile matching sebagai metode untuk memberikan rekomendasi buah dan sayur. Penelitian ini berhasil mengimplementasikan sistem rekomendasi pendukung smart e-commerce dengan 30 data buah dan 30 data sayur menggunakan ontologi dan profile matching. E-commerce ini dapat memberikan rekomendasi buah dan sayur yang cocok berdasarkan pada umur konsumen. Penelitian ini juga menggunakan preferensi konsumen yang terdiri atas warna dan rasa buah dan sayur untuk menampilkan pilihan buah dan sayur yang disukai oleh konsumen. Kelemahan dari penelitian ini adalah perhitungan rekomendasi bersifat stastis, sehingga masih harus dilakukan kodifikasi ulang jika ada perubahan data buah dan data sayur yang dimasukkan berdasarkan kandungan gizinya.
An Intelligent Food Recommendation System for Dine-in Customers with Non-Communicable Diseases History Harry Imantho; Kudang Boro Seminar; Evy Damayanthi; Nugraha Edhi Suyatma; Karlisa Priandana; Bonang Waspadadi Ligar; Annisa Utami Seminar
Jurnal Keteknikan Pertanian Vol. 12 No. 1 (2024): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.012.1.140-152

Abstract

The rising prevalence of diet-related diseases necessitates a focus on individual food selection to enhance nutrition intake and promote overall health. This study introduces a novel food recommender system utilizing artificial intelligence, specifically a genetic algorithm (GA), to intelligently match diverse nutritional needs with available food items. The research incorporates machine learning methodologies, such as collaborative and content-based filtering, to develop a recommendation model. Data from a commercial restaurant, Nutrisurvey, and the Indonesian food composition list inform the nutritional analysis of five menu items. Consumer variability, considering factors like sex, body mass index, medical conditions, and physical activity, are integrated into the GA framework for personalized food pattern matching. The presented results demonstrate the efficacy of the proposed model in offering tailored food recommendations for consumers with non-communicable diseases (NCDs), such as diabetes, hypertension, and heart disease. The multi-objective optimization technique employed in the system ensures a balance between nutritional adequacy and individual preferences. The presented GA-based approach holds promise for promoting healthier food choices tailored to individual needs, contributing to the broader goal of fostering a sustainable and personalized food system.
Energi Terbarukan dari Berbagai Varietas Kelapa Sawit di Penajam Paser Utara, Indonesia Usman, Ali; Seminar, Kudang Boro; Nelwan, Leopold Oscar; Sjaf, Sofyan
Jurnal Keteknikan Pertanian Vol. 13 No. 2 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.2.284-301

Abstract

Kelapa sawit berpotensi menjadi sumber energi terbarukan strategis dalam mendukung transisi energi nasional. Penelitian ini bertujuan mengkaji potensi empat varietas sawit (Sain, Lonsum, Dumpy, Marihat) di Kabupaten Penajam Paser Utara untuk biodiesel, minyak konsumsi, dan biomassa. Metode yang digunakan mencakup analisis kadar lemak, komposisi asam lemak, dan skenario pemanfaatan berbasis data produksi TBS dan CPO tahun 2023. Hasil menunjukkan bahwa varietas Lonsum dan Sain cocok untuk biodiesel, sementara Dumpy dan Marihat lebih sesuai untuk minyak konsumsi. Dengan alokasi proporsional dan konversi limbah TBS menjadi briket, diperoleh potensi produksi sebesar ±41.200 ton biodiesel, ±26.159 ton minyak konsumsi, dan ±115.104 ton biomassa padat per tahun. Total potensi energi mencapai ±3,49 juta GJ per tahun. Temuan ini menunjukkan peluang besar pengembangan agroindustri mandiri energi berbasis kelapa sawit di wilayah penyangga IKN.
A Novel Approach for Bali Cattle Classification: Integrating the Fuzzy Inference System with Certainty Factor and Morphometric Parameters Arnaldy, Defiana; Seminar, Kudang Boro; Neyman, Shelvie Nidya; Sukoco, Heru; Muladno, -
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3218

Abstract

Enhancing the productivity and quality of Balinese cattle is a crucial goal for improving livestock management practices in Indonesia. Traditional evaluation methods used by farmers are often subjective and inconsistent, leading to inaccuracies in cattle classification and limiting the effectiveness of breeding and selection processes. To address these challenges, this study proposes a Fuzzy Inference System with Certainty Factor (FIS-CF) to improve cattle classification by providing more objective and reliable grading criteria. The model utilizes key physical parameters, including shoulder height, body length, and chest circumference, as input features to categorize cattle into three quality classes. A diverse dataset was collected from the People's Animal Husbandry School (SPR) and various farms across Indonesia to evaluate the model's performance. The FIS-CF model achieved a classification accuracy of 95.93% and a balanced accuracy of 96.20%, outperforming traditional methods that rely on subjective assessment. These results demonstrate that the proposed model provides a consistent, scalable, and data-driven solution for livestock classification, helping farmers make more informed decisions in cattle selection and breeding. Additionally, the model addresses key limitations of current practices by reducing reliance on manual evaluations, which often vary between assessors. The findings highlight the potential for wider adoption of the FIS-CF model across the livestock sector to improve productivity and streamline herd management processes. Future research will aim to refine the model further by incorporating additional parameters, such as age and weight, and expanding its validation to larger datasets covering different cattle breeds and farming environments to ensure broader applicability in sustainable livestock management.
Co-Authors - Sudradjat, - A. Haris Rangkuti Abdi Kurniawan Abung Supama Wijaya Aditya, Edit Lesa Agik Suprayogi Agus Buono Agus Ghautsun Niam Agus Maulana ahmad yani Akhiruddin Maddu Ali Djamhuri Ali Usman, Ali Alimuddin Alimuddin Alvin Fatikhunnada Amiruddin Saleh Amrozi Annisa Utami Seminar Arief Ramadhan Arif Imam Suroso Arif Kurnia Wijayanto Az Zahra, Fatimah Azka Bazil Danish Rahmat B Mustafa Badollahi Mustafa Bagus Sartono Bayu Ardy Kresna Bayu Indrayana Bonang Waspadadi Ligar Budhi Hascaryo Iskandar Dedy Wirawan Soedibyo Defiana Arnaldy Diki Gita Purnama, Diki Gita Djuara P. Lubis Dodi Nandika Dodik Briawan Drajat Martianto Dwi Susanto Edi Sukmadirana Eneng Tita Tosida Eni Sumarni Eva Maulina Aritonang Evy Damayanthi Faiz Ridhan Faroka Firman Ardiansyah Firmansyah, Raden Arief Gananda Hayardisi Gibtha Fitri Laxmi Hardinsyah Haris Budiman Harry Imantho Hartoyo Herry Suhardiyanto Heru Sukoco Herwindo Dharmawan I Dewa Made Subrata I Wayan Astika Imam Teguh Saptono Imantho, Harry Irman Hermadi Janti G. Sudjana Joko Hermanianto Joko Ratono Joko Ratono Karlisa Priandana koekoeh santoso komariah komariah Kurniawan, Abdi Liyantono . Liyantono, - Lucia Cyrilla Luh Putu Ratna Sundari Maria Margrith Tirtasari Marimin , Melva Linda Aritonang Mohamad Agus Setiawan Mohamad Solahudin Mohammad Aftaf Muhajir Mohammad Solahudin Mokhamad Fakhrul Ulum, Mokhamad Muhammad Firdaus Muhammad Riza Muladno - Muliati, Vika Febri Muyassar Allam Suyuthi Nakao Nomura Nanda, Muhammad Achirul Nasution, Syahrial Nelwan, Leopold Oscar Nila Susila Yulianti Nugraha Edhi Suyatma Oktaviana Purnamasari Onno Widodo Purbo Pradeka Brilyan Purwandoko Pudji Muljono Purwandoko, Pradeka Brilyan Rachma Fitriati Rani Audona RATNA SARI Ridi Arif Rivangga Yuda Hendika Rizky Mulya Sampurno RR. Ella Evrita Hestiandari Rudi Afnan Samudra, Ami Anggraini Sarwititi Sarwoprasodjo Satyanto Krido Saptomo Shelvie Nidya Neyman Sirojul Munir Siska Mulyawaty Sitti Eha Faihah Sofyan Sjaf Sugiyanta Suhendi, - Sumiati Sumiati Suryo Wiyono Sutrisno Mardjan Sutrisno Sutrisno Sutrisno Sutrisno Sutrisno, Sutrisno Syahrial Nasution Taufik Makbullah Triani Rahmawati Usman Ahmad Veranus Sidharta Wawan Hermawan Wawan Wiraatmaja Wichitra Yasya Widodo Widodo Widodo Widodo Yandra Arkeman Yulia Dwi Indriani Yusra Fernando