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All Journal REKA ELKOMIKA JUTI: Jurnal Ilmiah Teknologi Informasi MUSTEK ANIM HA Jurnal Teknologi Elektro Pondasi BERITA BIOLOGI Jurnal Penelitian Pertanian Terapan Nuansa Journal of Arts and Design Agroplantae: Jurnal Ilmiah Budidaya dan Pengelolaan Tanaman Perkebunan Jurnal Pendidikan dan Konseling Journal of Intelligent Decision Support System (IDSS) INFOKUM Jurnal Agrisistem Journal Evaluation in Education (JEE) Journal of Scientech Research and Development Journal of Artificial Intelligence and Digital Business Jurnal Rekayasa Komputasi Terapan Jurnal Penelitian Pendidikan Indonesia Journal Of Chemical Process Engineering Jurnal Sistem Informasi dan Teknologi Informasi
RACHMAT RACHMAT
Fakultas Teknologi Informasi Institut Teknologi Sepuluh Nopember
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Pembuatan Bioetanol dari Limbah Popok Bayi Melalui Proses Hidrolisis dan Fermentasi Rachmat, Rachmat; Yani, Syamsuddin; Artiningsih, Andi; Ramdani, Nurfika
Journal of Chemical Process Engineering Vol. 6 No. 2 (2021): Journal of Chemical Process Engineering
Publisher : Fakultas Teknologi Industri - Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jcpe.v6i2.814

Abstract

Penggunaan popok bayi sekali pakai di Indonesia mencapai 85% dari angka kelahiran bayi setiap tahunnya akan menjadi permasalahan di bidang lingkungan, sehingga limbah tersebut dapat dimanfaatkan dalam pembuatan bioetanol. Penelitian ini bertujuan melakukan penelusuran pustaka untuk kondisi optimum proses hidrolisis dan fermentasi dalam pembuatan bioetanol, serta menentukan analisa kelayakan pembuatan bioetanol dari limbah popok bayi. Metode penelitian ini melalui proses hidrolisis menggunakan larutan asam sulfat dan proses fermentasi menggunakan bakteri saccaromyces cereviceae. Hasil studi literatur dari penelusuran pustaka menunjukkan bahwa popok bayi memiliki serat selulosa sebanyak 40% yang dapat menghasilkan glukosa menjadi bahan baku bioetanol. Kondisi optimum proses hidrolisis dan fermentasi pembuatan bioetanol adalah konsentrasi asam 0,05 M pada suhu 121oC selama 150 menit dengan perbandingan ragi : NPK = 3:4 gram selama 5 hari memberikan kadar etanol yang tinggi. Analisa kelayakan ekonomi untuk skala home industry berbasis bahan baku 6.875 kg/bulan menunjukkan layak untuk diaplikasikan dengan BEP: 15,70%, ROI: 16,72% dan POT: 9,42 bulan.
The quality of licensing services: an analysis of the impact of leadership and communication on the effectiveness of licensing services in Indonesia Rachmat, Rachmat
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol 10, No 3 (2024): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020244004

Abstract

The establishment of the Public Service Mall in XYZ Regency is designed to facilitate business transactions and is anticipated to enhance the Ease of Doing Business Index (EoDB) in XYZ Regency. The Investment Coordinating Board (BKPM) has delegated authority to the XYZ Regency Investment and One-Stop Integrated Services Office or it called DPMPTSP to organize licensing in the XYZ region through the Public Service Mall. The government utilizes an integrated online system, namely Online Single Submission (OSS), in its implementation, as mandated by Government Regulation Number 24 of 2018 concerning Electronically Integrated Business Licensing Services. This is done by the government to accelerate and facilitate business actors in obtaining business licenses. XYZ Regency has implemented the OSS system since July 2018. In this study, the authors are interested in discussing how communication management and communication processes related to services carried out by the XYZ Regency Investment and One-Stop Integrated Services Office (DPMPTSP) are conducted. The methodology employed in this study is descriptive qualitative. In accordance with the POAC theory, the implementation of the OSS system at the XYZ Regency One-Stop Integrated Investment and Service Office has not achieved the desired outcomes. There remain numerous deficiencies in the system, starting with the readiness of human resources (HR) to provide optimal services and the strategy of the XYZ Regency local government to disseminate information on the OSS system to the wider community. In accordance with the explanation provided by G. R. Terry, the foundation of management activities is organization. This implies that organization is an activity aimed at achieving goals in an effective and efficient manner. Therefore, the objective of the OSS system should be genuinely perceived by the community, rather than becoming an impediment to business activities.
MODIFIKASI PROTOKOL AODV-BR MENGGUNAKAN LINK EXPIRATION TIME (LET) UNTUK MENINGKATKAN STABILITAS LINK DI LINGKUNGAN MOBILE Ad-Hoc NETWORK (MANET) Rachmat, Rachmat; Djanali, Supeno; Anggoro, Radityo
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 15, No. 2, Juli 2017
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v15i2.a587

Abstract

AODV protocol is a protocol that is fairly mature in mobile Ad-Hoc network. But the traditional AODV protocol in some ways it seems less satisfying, especially on the stability of data transmission. Development continues, one of which AODV-Backup Routing which became known AODV-BR, were present to address the stability issues of data delivery by providing a backup route, however, AODV-BR still use traditional routing paths that are vulnerable to termination due to the formation of these calculations are based on minimum hop. This study proposes a modified AODV-BR with reliability be the ability to build main route and to choose the route up to the value of the highest stability was then called AODV-Stable bacukp Routing (AODV-SBR). Armed algorithms Link Expiration Time with node movement calculation technique, so the AODV-SBR is able to calculate the value of the minimum and maximum connectivity nodes in a route as the main reference in establishing a delivery route data more stable. The results test of the both protocols in Packet Delivery Ratio (PDR), Throughput, End-to-En Delay and Routing Overhead shows that performance of AODV-SBR better than AODV-BR
Aplikasi Konsentrasi Pupuk Organik Eco-Farming dan Anorganik Terhadap Peningkatkan Pertumbuhan dan Produksi Tanaman Padi (Oryza Sativa L.) Ramli, Ramli; Kaimuddin, Kaimuddin; Rachmat, Rachmat; Hamzah, Pratiwi; Dahlan, Dahlan; Parawansa, Ismaya Nita Rianti
Jurnal Penelitian Pertanian Terapan Vol 25 No 1 (2025)
Publisher : Politeknik Negeri Lampung.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/jppt.v25i1.3832

Abstract

Food crop commodities, especially rice, are needed by the people of Indonesia because they are a staple food. Food security is a requirement to produce healthy food. This study aims to analyze the effect of eco farming organic fertilizers and NPK on increasing the growth and production of rice plants. This research was carried out in Romanglompoa Village, Bontomarannu District, Gowa Regency. This research activity took place from February to September 2022. This research was designed using a Split Plot Design consisting of two factors. The first factor used as the main plot was inorganic namely 0% inorganic, 25% inorganic and 50% inorganic, and the second factor which was used as a subplot was Eco farming, Eco farming 25 ml, Eco farming 50 ml, and Eco farming 75 ml. These two factors were combined so that there were 9 treatment combinations. Each treatment series was repeated four times so that there were 36 treatments. The results showed that the 50 ml eco farming treatment showed the highest results on plant height (117.5 cm), panicle length (25.78 cm), rice grain (84.04 grains), number of seeds (122.63 grains), weight seeds (43.16 g), and the weight of 100 seeds (3.17 g). 50% inorganic treatment and 50 ml eco farming showed the highest results compared to other treatments.
Comparison of coronary heart disease prediction using basic model and ensemble learning Rachmat, Rachmat; Iskandar, Syamsul Bhahri; Kasmawaru, Kasmawaru; Suherwin, Suherwin
Journal of Intelligent Decision Support System (IDSS) Vol 8 No 2 (2025): June: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v8i2.298

Abstract

Coronary heart disease (CHD) remains one of the leading causes of death worldwide, highlighting the urgent need for accurate early detection. This study aims to compare the performance of various machine learning models—including Decision Tree, K-Nearest Neighbor (KNN), Logistic Regression, Random Forest, XGBoost, and Stacking Ensemble—in predicting CHD using the UCI Heart Disease Dataset. The models were evaluated using five metrics: accuracy, precision, recall, F1-score, and AUC. The results indicate that Stacking and Logistic Regression achieved the highest AUC scores (0.80), while XGBoost obtained the best F1-score (0.40). Simpler models such as Decision Tree and KNN showed relatively lower performance. In addition, feature importance analysis using permutation methods revealed that features like number of major vessels (ca), thalassemia (thal), ST depression (oldpeak), and age play a critical role in prediction accuracy. These findings demonstrate that ensemble learning approaches, especially Stacking and XGBoost, can effectively improve diagnostic performance and offer strong potential for clinical decision support systems (CDSS) in the early detection of coronary heart disease.
Analisis Perbandingan Metode Neural Network Dan K -Nearest Neighbor Dalam Pemanfaatan Kembali Jasa Rawat Inap Pada Rumah Sakit Umum Ibrahim, Abdul; Rachmat, Rachmat
e-Jurnal JUSITI (Jurnal Sistem Informasi dan Teknologi Informasi) Vol. 10 No. 1 (2021): e-Jurnal JUSITI
Publisher : Universitas Dipa Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36774/jusiti.v10i1.823

Abstract

Berdasarkan penelitian diatas penulis menyarankan menggunakan metode optimasi Particall Swarm Optimization (PSO) sehingga akurasi yang didapat lebih baik dari penelitian ini Penyesuaian jumlah populasi dapat memberikan optimasi yang lebih baik, tetapi diikuti dengan penambahan waktu komputasi. Sehingga dapat akurasi yang akan didapatkan jauh lebih tinggi dibandingkan dengan metode yang sekarang ini. Penambahan metode PSO ini diharapakan juga bisa membantu dalam peneliti dibidang datamining ini.NN dan k-NN merupakan salah satu algoritma untuk regresi maupun klasifikasi sudah secara sukses diimplementasikan di berbagai bidang Pada penelitian ini bertujuan mengembangkan model prediksi dengan menggabungkan algoritma NN dan k-NN dengan metode seleksi atribut dimana menggunakan metode NN k = 10 didapat akurasi 25,00% sedangkan dengan menggunakan metode k-NN k = 10 akurasi 15,00% dan Precission NN sebesar 12,50%, Precission k-NN sebesar 10,00%, recall NN sebesar 11,11% sama dengan recall k-NN sebesar 11,11%.
Pembangunan Sistem AI Berdasarkan Analisis Aktivitas Digital Untuk Mengidentifikasi Gaya Belajar Siswa Suherwin, Suherwin; Rachmat, Rachmat; Said, Irfan; Asia, Siti Nur
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.991

Abstract

Studi ini menyarankan untuk membangun sistem berbasis AI untuk mengidentifikasi gaya belajar siswa dengan menganalisis aktivitas digital mereka dalam sistem manajemen pembelajaran (LMS) atau platform pendidikan online lainnya. Sistem ini menggunakan algoritma pembelajaran mesin untuk memproses data seperti frekuensi login, pola interaksi konten, waktu yang dihabiskan untuk aktivitas, dan perilaku navigasi. Dengan memetakan perilaku ini ke dalam kerangka gaya belajar yang telah ditetapkan (misalnya, visual, auditori, kinestetik), sistem AI memberikan wawasan waktu nyata tentang preferensi masing-masing siswa. Efektivitas hasil pendidikan sangat dipengaruhi oleh keberagaman gaya belajar siswa, dan metode tradisional untuk mengidentifikasi gaya belajar sering kali bergantung pada kuesioner atau observasi manual, keduanya memakan waktu dan dapat dipengaruhi oleh bias.
Optimalisasi Algoritma Ant Miner Berbasis Fuzzy Untuk Penemuan Informasi Tersembunyi Pada Dataset Hepatitis Dengan Menggunakan Teknik Feature Selection Rachmat, Rachmat; Rafli R, Muh.
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1032

Abstract

Penelitian ini bertujuan untuk mengembangkan algoritma Ant Miner berbasis fuzzy untuk penemuan informasi tersembunyi pada dataset hepatitis dengan menggunakan teknik feature selection. Dataset hepatitis yang digunakan dalam penelitian ini terdiri dari 155 sampel dan 19 atribut. Hasil penelitian menunjukkan bahwa algoritma Ant Miner berbasis fuzzy dapat menemukan informasi tersembunyi pada dataset hepatitis dengan akurasi sebesar 92,31% dan sensitivitas sebesar 95,45%. Teknik feature selection yang digunakan dalam penelitian ini dapat memilih atribut yang paling relevan dengan kelas target dan meningkatkan akurasi algoritma. Hasil penelitian ini dapat digunakan sebagai acuan untuk pengembangan sistem pendukung keputusan yang lebih akurat dan efektif dalam diagnosis dan pengobatan hepatitis.
Sistem Otomatisasi Gerbang Dengan Verifikasi Identitas Berbasis RFID Dan Deteksi Wajah Menggunakan Yolov5 Alamsyah, Djalu Trisna; Rachmat, Rachmat
Jurnal Teknologi Elektro Vol 16, No 1 (2025)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jte.2025.v16i1.009

Abstract

Abstrak— Penulis termotivasi untuk membuat alat atau merancang sebuah alat dimana alat tersebut mampu mendeteksi Masyarakat Universitas Mercu Buana dengan data berupa para Mahasiswa Dari urgensi yang didapat munculnya beberapa khasus yang penulis sendiri alami seperti kehilangan helmt bahkan alat komunikasi atau alat kuliah lainnya.Dapat mendeteksi mahasiswa ataupun bukan mahasiswa secara efektiv dengan adanya algoritma YOLO V5 yang bekerja pada perancangan alatMetode eksperimen ini merupakan metode kuantitatif terutama digunakan apabila penelitian bertujuan untuk melakukan percobaan untuk mengetahui pengaruh variabel bebas/perlakuan/perlakuan tertentu terhadap variabel terikat/hasil/hasil dalam kondisi terkendali metode yang digunakan sebagai object Detection adalah algoritma YOLO, merupakan salah satu bagian dari algoritma You Only Look Once yang dapat diguakan sebagai object Detection. Pada hasil implementasi hasil code “and” dapat dijelaskan bahwa pada tahapan ini adalah hasil printah yang dibuat untuk perancangan alat, pada sensor RFID dan berlanjut ke pendeteksian wajah pada sensor Camera dan menghasilkan Output Gate Servo terbukaberupa sebuah alat yang dibuat atau berfungsi mendeteksi melalui sensor Camera dan RFID dengan output nya yaitu Gate yang akan terbuka ketika pembacaan Image Processing sesuai dengan data para Mahasiswa Universitas Mercu Buana sebuah gerbang pintu otomatis yang bekerja sesuai perintah dengan Image Procesing dan adanya sensor Camera dan RFID yang dirancang secara Prototype. Prototype ini dibuat menggunakan mikrokontroler ESP-32CAM dengan algoritma YOLOv5.Dari hasil kesimpulan 4 kondisi diatas, dapat disimpulkan ketika deteksi wajah mahasiswa terverifikasi sesuai maka akan muncul perintah pada program YOLOv5 didalam visula code dan akan menyesuaikan masing – masing data dengan RFID sebelumnya dan juga dengan nilai confidancenya dan gate akan terbuka, lalu ketika data mahasiswa tidak terdeteksi seperti pada tabel diatas bagian mahasiswa Afri maka program akan memberikan pemberitahuan bahwa data RFID terverifikasi namun data deteksi muka tidak terverifikais sesuai, dan gate tidak akan terbuka lalu program akan terulang dari awal.
Reassessing Moral Education: A Critical Evaluation of Gendang Bugis as Pedagogical Practice in the Digital Era Rachmat, Rachmat; Sunarto, Sunarto; Cahyono, Agus
Journal Evaluation in Education (JEE) Vol 6 No 3 (2025): July
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jee.v6i3.1869

Abstract

Purpose of the study: In the context of the digital era, the transmission of moral values faces increasing challenges due to the dominance of globalized, visual, and fast-paced content. This study aims to explore how Gendang Bugis a traditional Bugis musical performance, functions as a medium of moral pedagogy when represented and recontextualized on digital platforms Methodology: This research adopts an exploratory qualitative approach, employing digital ethnographic techniques. Data were collected through in-depth interviews, participatory observations, and content analysis of Gendang Bugis representations on social media platforms including YouTube, Instagram, and TikTok. Survey instruments: semi-structured interview guide and observation checklist. Main Findings: The main results indicate that digital performances of Gendang Bugis effectively transmit core moral values such as discipline, respect, solidarity, and cooperation. Senior performers act as moral role models, while youth audiences engage through affective and interactive virtual platforms. This online interaction fosters deeper value internalization. Moreover, digital platforms broaden access, promote intergenerational moral dialogue, and reinforce the pedagogical strength of traditional arts, even amid concerns over cultural authenticity and shifting modes of transmission in modern contexts Novelty/Originality of this study: This study presents a novel evaluative framework that integrates traditional performance pedagogy with digital ethnography. The results highlight the active role of digitalized traditional arts in moral education. It emphasizes the urgency of developing culturally grounded, digitally adaptive educational content and encourages the integration of traditional arts into both formal and informal education systems in a relevant and contextual manner.
Co-Authors Abdul Ibrahim, Abdul Adirianto, Bayu Agus Cahyono Agustiawati, A.Tuti Akhmad Alim, Akhmad Alamsyah, Djalu Trisna Andi Artiningsih Asia, Siti Nur Basmar, Muh. Fahmi Bimantara, Firmandhi Sahid Dahlan Dahlan Darsono, Try Adrianto Detia Tri Yunandar Ek Ajeng Rahmi Pinahayu Endin Mujahidin Hamzah, Pratiwi Harsani, Harsani Haslinda Haslinda, Haslinda Hasni Kasim, Hasni Heni Pujiastuti Hermawan, Nanang Juhandi ICHWAN ICHWAN Irnawati, Wati Iskandar, Syamsul Bhahri Istanto, Teddy Kaimuddin Kaimuddin, Kaimuddin Kanan, Novita Kasmawaru, Kasmawaru Marsujitullah Marsujitullah Muh Yusuf Muh. Yusuf MULTISARI MULTISARI Nggego, Dedy Abdianto Nurjusiah, Nurjusiah Parawansa, Ismaya Nita Rianti Patawaran, Nilfred Radityo Anggoro, Radityo Rafli R, Muh. Ramdani, Nurfika Ramli Ramli Ramli Ramli, Ahmadi Rayung Wulan Said, Irfan Silele, Talita Linke Soedarsono Soedarsono Suciatmih, Suciatmih Suherwin, Suherwin Sunarto Sunarto Supeno Djanali Suwarjono Suwarjono, Suwarjono Syaiful Nugraha Tamam, Abas Mansur Yani, Syamsuddin Zulaikha, Rita Nur