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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) JURNAL SISTEM INFORMASI BISNIS Bulletin of Electrical Engineering and Informatics AJIE (Asian Journal of Innovation and Entrepreneurship) CESS (Journal of Computer Engineering, System and Science) Jurnal Chemurgy ILKOM Jurnal Ilmiah EDUMATIC: Jurnal Pendidikan Informatika Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) International Journal of Engineering, Science and Information Technology JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) ELECTROPS : Jurnal Ilmiah Teknik Elektro
Didit Suprihanto, Didit
Fakultas Teknik, Universitas Mulawarman, Samarinda
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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BUDIDAYA MAGGOT DIPT BERKAH SALAMA JAYA, SENTRAL PENGGEMUKAN SAPI, LOA JANAN KUTAI KARTANEGARA, KALIMANTAN TIMUR Nugroho, Rudy Agung; Aryani., Retno; Manurung, Hetty; Sanjaya, Ari Susandi; Suprihanto, Didit; Sari, Wulan Iyhig Ratna; Patang, Fatmawati; Rudianto, Rudianto; Prahastika, Widha; Purnama, Bambang
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 1 (2023)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v4i1.2362

Abstract

Maggot (larva lalat tentara hitam) saat ini banyak dijalankan oleh para pembudidaya. Hal tersebut dikarenakan kemampuan maggot dalam mengurai limbah organik menjadi biomassa larva yang kaya akan protein. Salah satu limbah organik adalah kotoran hewan yaitu kotoran sapi yang ada di sentral penggemukan sapi PT Berkah Salama Jaya (BSJ), Kecamatan Loa Janan, Kabupaten Kutai Kartanegara, Provinsi Kalimantan Timur. Tujuan pengabdian kepada masyarakat ini adalah penerapan teknologi yaitu pelatihan budidaya maggot dengan memanfaatkan kotoran sapi untuk menghasilkan maggot yang tinggi protein. Metode yang dilakukan adalah focus group discussion (FGD), persiapan dan pelaksanaan. Sasaran kegiatan ini adalah kepada karyawan dan mitra PT BSJ, agar dapat mengetahui dan dapat membudidayakan maggot dari kotoran sapi, sehingga dihasilkan larva maggot. Pengabdian melibatkan karyawan dan mitra PT BSJ sejumlah 30 orang. Pada sesi diskusi peserta menyampaikan beberapa pertanyaan terkait budidaya maggot. Hasil evaluasi pengabdian disampaikan oleh salah seorang peserta melalui wawancara yang dimuat di berita di channel media massa elektronik. Hasil pengabdian secara umum adalah memberikan wawasan baru bagi peternak sapi mitra PT BSJ tentang berbudidaya maggot menggunakan media kotoran sapi. Hasil kegiatan lain adalah, karyawan dan mitra BSJ mampu melakukan budidaya maggot sendiri dan menghasilkan larva lalat tentara hitam. Program pengabdian ini diharapkan juga meningkatkan perekonomian di wilayah Loa Janan Kutai Kartanegara sebagai wilayah penyangga Ibu Kota Negara baru Indonesia
Information System Development of Cattle Weight Recording and Forecasting Using Website-Based Linear Regression Suprihanto, Didit; Delwizar, Muhammad Arya; Burhandenny, Aji Ery; Harjanto, Arif; Nugroho, Happy; Rumawan, Fatkhul Hani
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp293-300

Abstract

Cattle plays an important role in meeting food demand in Indonesia, especially in the livestock sector, where cattle farms must be prepared to provide beef supply to various regions in Indonesia. On the other hand, in East Kalimantan, the demand for beef is also increasing along with the growth of population and economic activity. The role of technology is also quite important in meeting the need for beef. One of them is the use of website information system technology as a recording and reporting application. One of the distributors also involved in cattle farming in East Kalimantan is PT XYZ, which was newly established in 2020. The need for technology includes recording system, reporting system and cattle weight forecasting system. The purpose of this study is to design a web-based application that helps PT XYZ to record, report and predict cattle weight. The application development used Laravel framework to predict the increase in cattle weight using linear regression method. While the methodology used to develop the application was Waterfall method which included the phases of requirement analysis, application design, software development, testing and implementation. The application testing results showed that the application complied with the design that has been implemented and all the functions on the application page worked properly. The cattle weight recording and forecasting information system generated various reports, such as monthly cattle weight progress, monthly cattle sales reports, cattle weight growth forecast analysis, and cattle sales profit reports.
Penjadwalan Optimal Perangkat IoT Menggunakan Algoritma Round Robin dalam Sistem Pemantauan Lingkungan: Sebuah Pendekatan Simulasi: english Burhandenny, Aji Ery; Pranoto, Sarwo; Suprihanto, Didit
Asian Journal of Innovation and Entrepreneurship Volume 09, Issue 02, May 2025
Publisher : UII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ajie.vol9.iss2.art2

Abstract

This study explores the application of the Round Robin algorithm for scheduling tasks in Internet of Things (IoT) systems designed for environmental monitoring, such as temperature and humidity tracking. Efficient task scheduling is critical to minimize latency and energy consumption in IoT networks. Using a Python-based simulation, this research evaluates the performance of the Round Robin algorithm in managing 10 to 50 virtual IoT devices tasked with environmental data collection, comparing it with Priority with Aging and Genetic Algorithm approaches. The simulation results indicate that Round Robin reduces the average waiting time by 15% compared to random scheduling, while the Genetic Algorithm outperforms Round Robin by approximately 20% in high-density networks. This approach provides valuable insights into IoT scheduling efficiency without requiring physical deployment, making it relevant for large-scale IoT system development.
ANALISIS LAYOUT KANDANG SAPI dan IOT TERHADAP PENGGEMUKAN SAPI POTONG DI PT. BERKAH SALAMA JAYA Yulianto, Fransiskus Federico; Afrilla, Lidwina Nadya; Sanjaya, Ari Susandy; Suprihanto, Didit; Nugroho3, Rudy Agung
Jurnal Chemurgy Vol 9, No 1 (2025): Jurnal Chemurgy-Juni 2025
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/cmg.v9i1.18002

Abstract

Ketersediaan produksi daging sapi di Kalimantan Timur masih rendah, sehingga pemerintah masih mengimpor daging sapi dari luar daerah untuk memenuhi kebutuhan konsumsi masyarakat yang semakin naik setiap tahunnya. Untuk mengatasi hal tersebut pemerintah Kalimantan Timur mendukung program pemerintah pusat, yaitu Pencapaian Swasembada Daging Sapi dan Kerbau (PSDSK) tahun 2014 yang ditetapkan Kementerian Pertanian. Melalui Dinas Peternakan (Disnak). Penggemukan sapi potong tidak hanya dengan diberi pakan bergizi setiap hari, namun ada hal lain yang membuat sapi cepat gemuk yaitu manajemen kandang yang baik. Kandang sapi yang baik dan ideal memiliki tata letak (layout) tinggi kandang 3-4,5 meter, lebar kandang 1 x 1,8 meter atau 1,5 x 2 meter, alas memiliki kemiringan 5-10⁰ memiliki selokan untuk kotoran sapi, dll. IOT dibutuhkan dalam pengecekan suhu sapi dan kelembapan kandang, yang juga membuat manajemen kandang semakin ideal. Kandang sapi di PT. Berkah Salama Jaya, Loa Janan, Kutai Kartanegara memiliki kriteria kandang ideal, namun ada beberapa yang perlu ditambahkan untuk lebih sempurna.
A comparative study of machine learning methods for drug type classification Tejawati, Andi; Suprihanto, Didit; Ery Burhandenny, Aji; Saipul, Saipul; Puspitasari, Novianti; Septiarini, Anindita
Bulletin of Electrical Engineering and Informatics Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i4.9477

Abstract

Drugs, commonly called narcotics, are dangerous substances that, if consumed excessively, can result in addiction and even death. Drug abuse in Indonesia has reached a concerning stage. In 2017, the National Narcotics Agency detected 46,537 drug-related incidents, including methamphetamine, marijuana, and ecstasy. There are 4 types of substances that can affect drug users, such as hallucinogens, depressants, opioids, and stimulants. A machine learning approach can detect these substances using user symptom data as input. This study uses six different methods in classifying, including decision tree, C.45, K-nearest neighbor (KNN), random forest, and support vector machine (SVM). The dataset comprises 144 data and 21 attributes based on the user's symptoms. The evaluation method in this study uses cross-validation with K-fold values of 5 and 10 and uses three parameters: precision, recall, and accuracy. KNN yields the most optimal results by using K=1 and K-fold 10 in the Euclidean and Minkowski types. The model achieves precision, recall, and accuracy of 91.9%, 91.7%, and 91.67%, respectively.
Comparative performance analysis of LSTM, GRU, and bidirectional neural networks for political ideology classification Afuan, Lasmedi; Hidayat, Nurul; Permadi, Ipung; Iqbal, Iqbal; Suprihanto, Didit; Bintang Pradana Yosua, Panky; Alfarez Marchelian, Reyno
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9980

Abstract

Political ideology classification is crucial for understanding social polarization, monitoring democratic processes, and identifying bias on online platforms. This study compares the performance of long short-term memory (LSTM), gated recurrent unit (GRU), and bidirectional GRU (Bi-GRU) neural network models in classifying liberal and conservative political ideologies from social media text data. The Bi-GRU achieved the best results with 88.75% accuracy and 89.16% F1-score, highlighting its strength in contextual analysis. These findings suggest their applicability in areas such as election monitoring and the analysis of political discourse. This study contributes to the field of political text classification by offering a comparative analysis of deep learning architectures. The dataset utilized covers a wide range of issues, including social, political, economic, religious, and racial topics, demonstrating its comprehensive nature. Visualizations using WordCloud and uniform manifold approximation and projection (UMAP) reveal distinct ideological patterns, validating the dataset’s quality for training models. The findings underscore the importance of utilizing advanced bidirectional architectures for nuanced tasks, such as ideology classification, where contextual understanding is crucial. These insights open avenues for future research, such as the application of Bi-GRU in analyzing multilingual political ideologies or real-time sentiment tracking during election campaigns.
Analisis Peramalan Kebutuhan Daya Listrik PT PLN (Persero) Area Berau Tahun 2025-2027 dengan Metode Regresi Linear Hidayat, Aldi Muhammad; Rumawan, Fatkhul Hani; Suprihanto, Didit; Harjanto, Arif; Nugroho, Happy
ELECTROPS : Jurnal Ilmiah Teknik Elektro Vol 4, No 1 (2025): ELECTROPS : Jurnal Ilmiah Teknik Elektro
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/electrops.v4i1.22835

Abstract

Penelitian ini memprediksi kebutuhan listrik di Kabupaten Berau untuk 2025-2027 menggunakan regresi linear sederhana. Analisis data 2019-2024 menunjukkan tren pertumbuhan jumlah pelanggan dan daya tersambung yang konsisten. Model regresi memperkirakan kenaikan pelanggan sebesar 464,96 per bulan dan daya tersambung bertambah 1,04 MVA tiap bulan. Validasi menggunakan Mean Absolute Percentage Error (MAPE) menunjukkan tingkat kesalahan rendah, yaitu 0,6% untuk pelanggan listrik dan 3,7% untuk daya tersambung. Hasil peramalan memproyeksikan peningkatan pelanggan dari 89.331 pada 2024 menjadi 105.908 pada 2027, serta daya tersambung dari 183,90 MVA menjadi 207,57 MVA. Untuk menghadapi lonjakan permintaan, PT PLN (Persero) perlu meningkatkan infrastruktur serta menyediakan cadangan daya sebesar 13,10 MVA guna menjaga stabilitas pasokan listrik.
REDESIGNING THE UI/UX WEBSITE FOR THE INDUSTRIAL ENGINEERING DEPARTMENT AT MULAWARMAN UNIVERSITY USING DESIGN THINKING METHOD Hadi, Amirul; Sukmono, Yudi; Harjanto, Arif; Suprihanto, Didit
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 1 (2024): JUTIF Volume 5, Number 1, February 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.1.1252

Abstract

The industrial engineering department website of Mulawarman University faces challenges in disseminating academic information due to inadequate maintenance. This research utilizes the design thinking method to enhance the website's user interface and user experience (UI/UX) and evaluate its usability against the current version. The decision to use design thinking is grounded in its established effectiveness in improving website UI/UX. The study involves empathizing, defining, ideating, prototyping, and testing phases. User needs and concerns were identified through interviews, observations, and tools such as affinity diagrams, user personas, and user journey maps. Creative concepts were developed and organized using the priority matrix, sitemap, and user flow. Wireframes and mockups facilitated pre-construction design visualization. The redesigned UI/UX prototype resulted in a significantly improved user experience, as evidenced by the results of the user experience questionnaire and system usability scale. The initial UEQ scores indicated low usability, with attractiveness at 0.85, perspicuity at 1.01, efficiency at 0.71, dependability at 0.76, stimulation at 0.41, and novelty at -0.18. Following the redesign, scores notably increased, attractiveness at 2.06, perspicuity at 1.89, efficiency at 1.94, dependability at 1.79, stimulation at 2.05, and novelty at 1.64. SUS testing revealed an average rise to 76 from 63 points, indicating enhanced user satisfaction, acceptance, and descriptive ratings. The website's grade improved from C to B after the redesign. In conclusion, the UI/UX redesign successfully enhanced website usability and user experience.
ANALISIS HASIL PEMERIKSAAN DAN PENGUJIAN PEMBANGKIT LISTRIK TENAGA DIESEL UNTUK MENDAPATKAN SERTIFIKAT LAIK OPERASI Dermawan, Muhammad Ali; Rumawan, Fatkhul Hani; Suprihanto, Didit
ELECTROPS : Jurnal Ilmiah Teknik Elektro Vol 3, No 2 (2024): ELECTROPS : Jurnal Ilmiah Teknik Elektro
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/electrops.v3i2.16500

Abstract

Bangunan yang menggunakan genset sebagai pemasok listrik cadangan harus dilakukan pemeriksaan dan pengujian untuk mendapatkan Sertifikat Laik Operasi (SLO) genset guna memberikan rasa aman. PLTD yang belum memiliki Sertifikat Laik Operasi tetapi sudah dioperasikan tentu melanggar peraturan yang ada dan akan dikenakan sanksi. Penelitian ini bertujuan untuk melakukan pemeriksaan dan pengujian Pembangkit listrik tenaga diesel dan untuk menentukan hasil baik (laik) dan buruk (tidak laik) dari pemeriksaan dan pengujian pembangkit listrik tenaga diesel yang sesuai dengan standar Peraturan Menteri Energi dan Sumber Daya Mineral (ESDM) 38 tahun 2018. Penelitian ini dilakukan di PT. United Hydraulic Technology Balikpapan dengan metode pemeriksaan dan pengujian pada Pembangkit listrik tenaga diesel. Hasil penelitian menunjukkan bahwa pemeriksaan dan pengujian PLTD tidak laik operasi karena terdapat kekurangan yang menunjukkan 2 dari 5 mata uji pemeriksaan desain tidak terpenuhi yaitu pada dokumentasi tata letak pemadam kebakaran dan sistem pembumian. Selain itu, PLTD tidak ramah lingkungan dikarenakan tingkat kebisingan pada unit genset melebihi standar baku mutu yang ditetapkan, yaitu 99,4 dB(A).
SPK Sistem Pendukung Keputusan Promosi Kenaikan Jabatan dengan Fuzzy AHP di STMIK STIKOM Indonesia Sugiartawan, Putu; Suprihanto, Didit
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 2 No 4 (2020): June
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (877.744 KB) | DOI: 10.33173/jsikti.80

Abstract

Employees who are placed according to their knowledge, skills, and abilities tend to have high motivation, so the resulting performance will also increase. To ensure the right person or employee in the right position too, employee selection has always been a very important part of the company organization, especially in high schools. The decision-making process for promotion of promotion can be completed with a decision support system used by managers as a support for information in solving problems to fill positions, where the performance function can calculate the consideration of each competency possessed by each HR. DSS can provide alternative solutions when a person or group of people is difficult to make the right and appropriate decision. DSS is not to replace the function of decision-makers in making decisions, but only as a tool for decision-makers in carrying out their duties. THE fuzzy AHP method is able to determine the weight with the comparison value of each criterion, and this model Fuzzy-AHP method can cover the limitations of the AHP method, namely imprecision in overcoming Multi-criteria decision making which has subjective criteria. With this method approach, the ranking results of the determination of the position are obtained in accordance with the preferences of the decision-maker
Co-Authors 'Aisyah, 'Aisyah Adi Pandu Wirawan Afrilla, Lidwina Nadya Agus Qomaruddin Munir Aji Ery Burhandenny Alfarez Marchelian, Reyno Amirul Hadi, Amirul Andri Syafrianto Anindita Septiarini, Anindita Apriyanto Sali Ari Susandi Sanjaya Ari Susandy Sanjaya, Ari Susandy Arif Harjanto Arif Harjanto Aris Sugiharto Aryani., Retno Bambang Purnama Bangkit Bekti Nurdianto Bintang Pradana Yosua, Panky Budi Nining Widarti Budi Rahmani Budi Yannur Burhandenny, Aji Ery Delwizar, Muhammad Arya Dermawan, Muhammad Ali Dhea Yolanda Edhi Sarwono Ery Burhandenny, Aji Fatkhul Hani Rumawan Fatmawati Patang Hairul Huda Hamdani Hamdani Hamdani Hamdani Happy Nugroho Happy Nugroho Haviluddin Haviluddin Heru Ismanto Hetty Manurung Hetty Manurung, Hetty Hidayat, Aldi Muhammad I Dewa Ayu Sri Murdhani Imam Muhammad Hakim Ipung Permadi Iqbal Iqbal Kahlil Gibran Saputra Lasmedi Afuan Muhammad Akbar Muslimin Muslimin Muslimin Muslimin Nugroho, Happy Nugroho3, Rudy Agung Nurmadewi, Dita Nurul Hidayat Olivia Angelica Murtioso Palus, Petrus Prahastika, Widha Pranoto, Sarwo Purnama, Bambang Puspitasari, Novianti PUTU SUGIARTAWAN Rahmadhani, Rizal Restu Mukti Utomo Retno Aryani. Rois Gusti Dewa Rudianto Rudianto Rudianto Rudianto Rudy Agung Nugroho Rumawan, Fatkhul Hani Saipul, Saipul Salsabila, Nur Maya Sanjaya, Ari Susandi Sari, Wulan Iyhig Ratna Tejawati, Andi Toni Prahasto Viny Christanti M Wati, Masna Widha Prahastika Wirawan, Adi Pandu Wulan Iyhig Ratna Sari Yudi Sukmono Yudiana, I Made Yulianto, Fransiskus Federico