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All Journal ComEngApp : Computer Engineering and Applications Journal VALENSI JURNAL KIMIA SAINS DAN APLIKASI Jurnal Natur Indonesia Teknika Jurnal Riset Kimia SEMIRATA 2015 Jurnal Pengabdian UntukMu NegeRI Jurnal Surya Medika Jurnal CoreIT Indonesian Journal of Chemistry JSFK (Jurnal Sains Farmasi & Klinis) JURNAL PHOTON JURNAL PENDIDIKAN TAMBUSAI J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Building of Informatics, Technology and Science Jurnal Yustitia Zonasi: Jurnal Sistem Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Information System Journal (INFOS) KLIK: Kajian Ilmiah Informatika dan Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Dinamika Lingkungan Indonesia Makara Journal of Science MASALIQ: Jurnal Pendidikan dan Sains Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Counseling and Humanities Review Jurnal Aplikasi IPTEK Indonesia AHKAM : Jurnal Hukum Islam dan Humaniora Mestaka: Jurnal Pengabdian Kepada Masyarakat Molekul: Jurnal Ilmiah Kimia Journal Of Artificial Intelligence And Software Engineering Journal of Hypermedia & Technology-Enhanced Learning Jurnal Pengabdian Nusantara JKM: Jurnal Kemitraan Masyarakat Jurnal Kesehatan Masyarakat
Jasril Jasril
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Respons Siswa Terhadap Program Sekolah Binaan SMK Se-Riau Program Kimia Fakultas MIPA Dan Kesehatan UMRI Nasution, Hasmalina; Siregar, Sri Hilma; Rahayu, Anggi Putri; Syahri, Jufrizal; Prasetya, Prasetya; Hilma, Rahmiwati; Syafri, Rahmadini; Sari, Meidita Kemala
Mestaka: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2025): Februari 2025
Publisher : Pakis Journal Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58184/mestaka.v4i1.585

Abstract

The goal of education is to actively develop students' potential by establishing a learning environment and process. Most students still find learning chemistry in high school or trade school to be challenging. One way for universities to help schools grow and enhance secondary school students' skills is through the Assisted School Program. Students in this program receive training to help them develop a broad perspective, expose them to the working world, and encourage their innovative spirit. Students at the target school responded favorably to this exercise, as evidenced by the average proportion of their responses on the indicators of interest, responsiveness, and satisfaction that met positive criteria. Students at this aided school, SMK Negeri 2 Pekanbaru, responded actively to the activities 94% of the time, whereas SMK Negeri 1 Tualang received the fewest replies (72%). In general, student responses regarding their level of enthusiasm in the targeted school activities are excellent. Overall, the guided inquiry method's student replies were rated as good. This is demonstrated by the percentage of each statement falling into the very good category, the overall student response rate of 81.88%, and the pre-test and post-test results, which showed that it had an impact on students' knowledge growth as indicated by the higher post-test scores compared to the pre-test score.
Perbandingan Algoritma Naïve Bayes dan K-Nearest Neighbor (K-NN) Untuk Klasifikasi Penyakit Gagal Jantung Zahri, Firman; Insani, Fitri; Jasril, Jasril; Oktavia, Lola
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6480

Abstract

A condition known as heart failure, where the heart is unable to pump enough blood to meet the body's needs for oxygen and nutrients, should not be taken lightly. This can result in a number of symptoms, such as fatigue, fluid retention, and dyspnea. The World Heart Federation estimates that up to 1.8 million people in Southeast Asia suffered from heart failure in 2014. For prompt and efficient treatment, heart failure is a medical problem that needs to be identified. This disease has the potential to worsen if not treated immediately. Several machine learning methods can be used to help diagnose and categorize this disease. One of them is the popular algorithm, namely Naive Bayes and K-Nearest Neighbors. Naive Bayes is a simple but very efficient probability-based machine learning algorithm, especially in classification applications. K-Nearest Neighbors is comparing the data to be predicted with a number of its closest data in a feature space based on a certain distance, such as Euclidean distance, Manhattan, or others. This study was conducted using Confusion Matrix to evaluate and compare the Naive Bayes and K-Nearest Neighbor algorithms in the categorization of heart failure disease by collecting data totaling 918 heart failure patient data from kaggle. Based on the research findings, the K-Nearest Neighbor method achieved an accuracy score of 76%, while the Naive Bayes approach achieved 90% accuracy using a ratio of 80:20.
KEPASTIAN HUKUM PEMEGANG SERTIPIKAT HAK PAKAI ATAS TANAH NEGARA TERHADAP PEMEGANG SURAT KETERANGAN GANTI RUGI DALAM GUGATAN PERDATA Jasril, Jasril; Afrita, Indra; Triana, Yeni
Yustitia Vol. 11 No. 1 (2025): Yustitia
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/yustitia.v11i1.323

Abstract

The human need for land today is increasing. This is due to the increasing number of population, while on the other hand, the land area does not increase. For this reason, the rights and authorities of the parties are regulated in the Basic Agrarian Law (UUPA) Number 5 of 1960. This study is a normative legal research that aims to (1) Analyze the legal arrangements for holders of state land use right certificates against SKGR according to the provisions of Indonesian civil law; (2) Analyze the legal certainty for the holder of the right to use the certificate on state land against the holder of the SKGR in a Civil Lawsuit. This research approach consists of a case approach, a legislative approach, and a conceptual approach. Case Approach based on case analysis of court decision No. 83/PDT. G/2009/PN. PBR, No. 75/PDT. G/2007/PN. PBR, and also decision No. 46/PDT. G/2011/PN. PBR. This study concludes that the legal certainty of the holder of the certificate of right to use state land against the SKGR in a civil lawsuit before the court has powerful legal force based on one of the provisions in Article 16 of the UUPA. The next conclusion is that the legal consequences of the holder of the right to use SKGR state land in a civil lawsuit in front of the court can be measured through the legal arrangement of proof in the civil procedure law.
Applying Local Interpretable Model-agnostic Explanations (LIME) for Interpretable Deep Learning in Lung Disease Detection Ananda, Sherly; Negara, Benny Sukma; Irsyad, Muhammad; Jasril, Jasril; Iskandar, Iwan
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): Juni On-Progress
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.7042

Abstract

Artificial Intelligence (AI) semakin banyak diterapkan dalam bidang kesehatan melalui model Machine Learning (ML) dan Deep Learning (DL). Namun, kompleksitas model modern yang bersifat black-box menimbulkan kebutuhan akan metode interpretasi yang transparan. Explainable AI (XAI) hadir untuk menjembatani hal tersebut, dengan memberikan pemahaman yang lebih baik terhadap kinerja model. Penelitian ini mengimplementasikan metode Local Interpretable Model-agnostic Explanations (LIME) untuk memvisualisasikan hasil klasifikasi model DL berbasis arsitektur ResNet18 terhadap citra Chest X-ray (CXR) pada tiga kelas: normal, COVID-19, dan pneumonia. Model mencapai precision, recall, dan F1-score rata-rata sebesar 97%, serta Accuracy sebesar 98%. Visualisasi LIME menunjukkan area citra yang berkontribusi signifikan terhadap klasifikasi, serta mampu membedakan ketiga kelas dengan baik. Hasil ini mendukung penggunaan XAI untuk meningkatkan interpretabilitas model DL dalam diagnosis medis.
Application of Shapley Additive Explanations (SHAP) in Deep Learning for Lung Disease Detection Using X-ray Images Muliani, Sarifah; Negara, Benny Sukma; Irsyad, Muhammad; Jasril, Jasril; Iskandar, Iwan
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.7044

Abstract

Pemeriksaan menggunakan citra x-ray merupakan metode yang efektif dalam membantu deteksi penyakit paru-paru, seperti COVID-19, dan pneumonia. Seiring dengan perkembangan teknologi yang meningkat, proses diagnosis kini dapat dilakukan secara lebih akurat dengan memanfaatkan sistem berbasis kecerdasan buatan. Salah satu metode yang banyak digunakan adalah deep learning namun metode ini bersifat black-box, sehingga hasil prediksi sulit dipahami dengan alasan dibalik keputusan model. Tujuan penelitian ini adalah untuk membangun sistem klasifikasi citra x-ray menggunakan model deep learning berbasis Convolutional Neural Network (CNN) dengan arsitektur VGG-16, serta menerapkan metode Shapley Additive Explanations (SHAP) untuk memberikan penjelasan mengenai visual terkait area citra yang mempengaruhi hasil prediksi. Model dilatih menggunakan beberapa konfigurasi, dan hasil terbaik diperoleh pada rasio data 80% : 20%, learning rate 0.001, batch size 32, dan 50 epoch. Hasil penelitian menunjukkan bahwa model mampu mencapai akurasi sebesar 95,75% pada data training dan 96,00% pada data validasi. Metode SHAP digunakan untuk meningkatkan pemahaman terhadap hasil prediksi. Hasil menunjukkan bahwa kombinasi deep learning dan SHAP mampu memberikan penjelasan visual terhadap hasil prediksi model.
PENGELOMPOKAN DATA KONDISI MESIN SCREW PRESS MENGGUNAKAN ALGORITMA FUZZY C-MEANS Jasril, Jasril; Al Fiqri, M. Faiz; Sanjaya, Suwanto; Handayani, Lestari; Insani, Fitri
Information System Journal Vol. 8 No. 01 (2025): Information System Journal (INFOS)
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/infosjournal.2025v8i01.2133

Abstract

Kinerja mesin screw press sangat memengaruhi efisiensi dan kualitas produksi minyak kelapa sawit. Salah satu komponen penting dalam sistem ini adalah Back Pressure Vessel (BPV) yang menyalurkan uap ke berbagai stasiun proses. Penelitian ini bertujuan untuk mengelompokkan kondisi mesin berdasarkan temperatur dan tekanan menggunakan algoritma Fuzzy C-Means (FCM). Data yang dianalisis berasal dari mesin BPV PT. XYZ periode April–Mei 2024 sebanyak 23.002 entri. Tahapan penelitian meliputi seleksi data, pra-pemrosesan, normalisasi Min-Max Scaler, klasterisasi FCM, dan evaluasi menggunakan metode Elbow dan Davies-Bouldin Index (DBI). Hasil awal menunjukkan tiga klaster dengan distribusi kondisi mesin dari stabil hingga memerlukan perawatan. Metode Elbow menunjukkan jumlah klaster optimal sebanyak empat, sedangkan DBI menunjukkan dua klaster dengan nilai terbaik 0,389. Hasil ini menunjukkan bahwa FCM mampu mengelompokkan kondisi mesin secara efektif dan dapat digunakan sebagai dasar dalam pengambilan keputusan perawatan. Penelitian ini disarankan untuk dikembangkan dengan atribut tambahan.
Pemberdayaan Masyarakat Melalui Pemanfaatan Limbah Dedak Padi Sebagai Pakan Buatan Ikan Lele Di Desa Kemuning Muda, Kecamatan Bunga Raya, Kabupaten Siak: Community Empowerment through the Utilization of Rice Bran Waste as Artificial Feed for Catfish in Kemuning Muda Village, Bunga Raya District, Siak Regency Nurhayati; Muslim Syaifullah, Mhd; Jasril, Jasril; Fawrin, Heralda; Muhdarina, Muhdarina
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 10 No 1 (2025): April
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Desa Kemuning Muda di Kecamatan Bunga Raya, Kabupaten Siak, Riau, merupakan daerah dengan produksi padi yang melimpah. Dalam proses penggilingan, dedak padi dihasilkan sebagai limbah, tetapi belum dimanfaatkan secara optimal oleh masyarakat. Selain itu, beberapa warga desa melakukan budidaya ikan, termasuk ikan lele, yang terkendala oleh tingginya biaya pakan yang mencapai 60-70% dari biaya produksi. Pemanfaatan dedak padi sebagai pakan lele menawarkan solusi untuk mengurangi biaya produksi sekaligus mengelola limbah pertanian. Pembuatan pakan melibatkan alat sederhana, seperti panci dan kompor, serta bahan-bahan seperti dedak halus, pelet, ikan asin halus, garam, minyak, dan air. Prosesnya dimulai dengan mencampur pelet yang telah dilelehkan dalam air panas dengan dedak halus, minyak, garam, dan ikan asin. Adonan kemudian dibentuk menjadi pelet kecil dan dikeringkan di bawah sinar matahari agar awet. Pakan lele juga dapat dibuat menggunakan metode fermentasi dengan menambahkan pupuk organik cair mikroorganisme (EM4). Bahan kering dicampurkan terlebih dahulu, kemudian larutan EM4 ditambahkan dan diaduk hingga merata. Proses fermentasi dilakukan selama 3-5 hari. Pakan alternatif ini siap digunakan dan menawarkan manfaat bagi pembudidaya lele dalam mengurangi biaya serta meningkatkan keberlanjutan lingkungan.
Sistem Tanya-Jawab Berbasis Chatbot Telegram Tentang Fiqih Kontemporer Menggunakan Langchain Dan LLM Mar'arif, Muhammad Mulky; Harahap, Nazruddin Safaat; Jasril, Jasril; Affandes, Muhammad
TEKNIKA Vol. 19 No. 2 (2025): Teknika Mei 2025
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15437200

Abstract

Informasi mengenai fiqih kontemporer sangat susah didapatkan, terkhusus berasal dari ustadz Syekh Al-Qardhawi. Perlunya sebuah layanan informasi yang bisa memberikan jawaban dari pertanyaan seputar fiqih kontemporer, salah satunya yaitu memanfaatkan teknologi saat ini seperti chatbot yang ada pada telegram. Dengan memanfaatkan chatbot pada telegram dapat menghasilkan sebuah sistem tanya-jawab mengenai fiqih kontemporer. Jadi, penelitian ini bertujuan untuk menerapkan sistem tanya-jawab berbasis chatbot Telegram mengenai fiqih kontemporer. Penelitian ini juga memanfaatkan metode langchain dan large language model (LLM) agar dapat menciptakan sistem tanya-jawab yang optimal. Penelitian ini berhasil menunjukkan keefektifan nya dalam memberikan jawaban mengenai fiqih kontemporer yang mana hasil pengujian User Acceptance Test (UAT) dan Black Box Testing menunjukkan bahwa sistem ini dapat memberikan informasi yang akurat dan juga berfungsi sebagaimana mestinya sebagai sistem tanya-jawab tentang fiqih kontemporer.
APPLICATION OF K-NEAREST NEIGHBOR REGRESSION METHOD FOR RICE YIELD PREDICTION Handayani, Lestari; Alfarabi.B, Alif; Aprilia, Tasya; Wulandari, Indah; Jasril, Jasril; Ramadhani, Siti; Budianita, Elvia
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 11, No 1 (2025): June 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v11i1.30907

Abstract

Rice plants with the Latin name Oryza Sativa are food plants that are widely used as the main food crop in various countries, one of which is Indonesia. Indonesia is ranked 4th as the largest rice consuming country in the world. This requires the availability of rice to be maintained. Unstable rice production can be a problem. One of the districts that has experienced a decline in rice production in recent years is the district of Lima puluh kota located in West Sumatra province. This requires prediction of rice production so that it can be used as a benchmark for the future. This study uses data on rice production in fifty cities from 2013 to 2023. The method used to predict is k-nearest neighbor regression (KNN Regression). The data division uses rasio 90 : 10. In testing the data used is divided into 2, namely normal data and data that has been normalized. The test results produce the smallest mean absolute percentage error (MAPE) value of 6.98% on normal data, the value of k is 6 with data division using k-fold 5. Based on the resulting MAPE value, it can be said that KNN Regression can predict rice production results very accurately.
Red Ginger Essential Oil (Zingiber officinale var. Rubrum) as a Biolarvicide in the Control of Aedes Aegypti Mosquitoes Denai Wahyuni; Sari, Wulan; Jasril, Jasril; Syahri, Jufrizal
Jurnal Kesehatan Masyarakat Vol. 20 No. 4 (2025)
Publisher : Universitas Negeri Semarang in collaboration with Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI Tingkat Pusat) and Jejaring Nasional Pendidikan Kesehatan (JNPK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kemas.v20i4.1558

Abstract

Synthetic larvicides are often used to control Aedes aegypti mosquitoes, but they are detrimental to humans, the environment, and the occurrence of resistance. The purpose of the study was to determine the influence and effectiveness of red ginger essential oil (Zingiber officinale var. Rubrum) as the biolarvicide of Ae. Aegypti and the most effective concentration (LC50). A total of 25 instar 3 larvae with concentrations of 200, 400, 600, and 800 ppm and K+(temephos), K-(aquaade), four repetitions every 30 minutes of observation for 3 HSPs. The results of the study showed that red ginger essential oil affected the death of Ae. Aegypti larvae. There was a significant difference in mortality rates between concentrations (Kruskal-Wallis test, p = 0.001). Likewise, there was a moderate but significant correlation between concentration and mortality (Spearman correlation: r = +0.503, p = 0.001). The probit analysis, LC50 was 257.89 ppm, most effectively influencing mortality in Ae. Aegypti larvae based on LC50. Red ginger essential oil (Zingiber officinale var. Rubrum) is effective and effective as a bio-larvicide to control Ae. aegypti so that it can reduce dengue fever cases.
Co-Authors - Aisyah - Nurlaili -, Sulismayati A, Muhammad Rizki Abdul Aziz Adel Zamri Adel Zamri Afrita, Indra agistia, nesa Ahmad Fauzan Ainil Mardiyah Aisyah Aisyah Aisyah, - Akbar, Unggul Al Fiqri, M. Faiz Alfarabi.B, Alif Ananda, Muthia Ananda, Sherly Anggita, Anggi Fisi Anori, Sartika Aprilia, Tasya Asmawati Asmawati Ayasrah, Firas Tayseer Baehaqi Bintal Amin Christine Jose Christine Jose Dampang, Hasria Darian Alfatos Delsi K Delsi K Delsina Faiza Denai Wahyuni Denai Wahyuni Desviana, Laila Dewi, Erna Puspita Elin Haerani Elka Yuslinda Elvia Budianita Elviyenti, Elviyenti Fadhilah Syafria Fadhli, Irfan Faladhin, Johan Fatila, Mutia Fauzi, Faradiba Kamilia Fawrin, Heralda Febi Yanto Fernando, Rivan Fiffah, Chainul Firmathoina, Aisyah Fitra Perdana Fitri Insani Fitria Novitasari Frischa Meivilona Yendi Guspriadi, Yan Gusti, Siska Kurnia Haiyul Fadhli Hamersat, Danu Hardiansyah, Muhammad Vio Haresman, Haresman Hariansyah, Jul Hasmalina Nasution Hendra, Rudi Hilwan Yuda Teruna Hurria, Hurria Ihsan Ikhtiarudin Iis Afrianty Ika Parma Dewi Ikhtiaruddin, Ihsan Iktiarudin, Ihsan Illahi, Ridho Indah Wulandari Insani (Scopus ID: 57190404820), Fitri Işık, Kenan Isnaniar Iswantir M Jufrizal Syahri Laila Desviana Lazulva Lazulva, Lazulva Lestari Handayani Lisa Utami Mar'arif, Muhammad Mulky Marzalius, Lira Rahma Masykur Hz Masykur HZ Muhammad Affandes Muhammad Irsyad Muhdarina Muhdarina Muhdarina Muliani, Sarifah Muslim Syaifullah, Mhd Nazir, Alwis Nazruddin Safaat H Negara, Benny Sukma Neni Frimayanti Nofirda, Fitri Ayu Novianty, Riryn Nuraini Ramadhani Nurhayati Nurlaili Nurlaili Nurlaili, - Nurwijayanti Oktavia, Lola Pranata, Joni Prasetya Prasetya, Prasetya Putra, Ade Herdian Putra, Rido Putri, Atika Putri, Rahmayani Indah Rahayu, Anggi Putri Rahma Dona Rahmadini Syafri Rahmiwati Hilma Ramadhani, Eka Ramadhani, Siti Ramadhanti, Aulia Rizki Retno Hidayati Rudi Hendra Sardi, Hajra Sari, Meidita Kemala Sari, Nila Puspita Silvera Devy Siregar, Alfi Salimah Siregar, Sri Hilma Siregar, srihilma Soeci Izzati Adlya Sofyan Husein Siregar Sulismayati - Surya Agustian Suwanto Sanjaya Sya'ban, Andrian Nur Syaifullah, Mhd Muslim Thamrin Tri Windarti Tri Windarti Tria Harlianti Triana, Yeni Ulhukmi, Nisa Umar Hamdan, Umar Veithzal Rivai Zainal Wan, Xue Wenni, Osriza Wulan Sari, Wulan Yasthophi, Arif Yeni, Wila Mutiara Yuana Nurulita Yuca, Verlanda Yuharmen - Yum Eryanti Yuni Fatisa Zadrian Ardi Zahra, Fadhila Az Zahri, Firman Zikra, Nadila `Nasution, Hasmalina