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Penyuluhan Pemanfaatan Sampah Rumah Tangga Untuk Pembuatan Kompos Menggunakan Home Composter Nasirly, Riri; Rahmad, Nuraini; Arsi, Fadli; Rahman, Arief Fazlul; Larasati, Tengku Indira
Jurnal Pengabdian Masyarakat Bangsa Vol. 2 No. 7 (2024): September
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v2i7.1296

Abstract

Seiring dengan meningkatnya jumlah penduduk di suatu wilayah, akan mengakibatkan bertambahnya volume sampah. Sampah yang berasal dari pemukiman merupakan salah satu sumber sampah yang cukup besar perannya dalam peningkatan volume sampah di lingkungan. Sampah yang berasal dari pemukiman atau disebut dengan sampah rumah tangga sebanyak 75% merupakan sampah organik. Kondisi yang cukup pelik terjadi di Daerah Pelalawan ketika banjir terjadi pada Januari 2024. Selama tiga pekan banjir menerjang Jalan Lintas Timur (Jalintim) Desa Kemang, selama itu juga proses pengangkutan sampah di sekitar Pangkalan Kerinci nyaris tidak dilakukan petugas. Sehingga mengakibatkan penumpukan sampah tidak hanya di pemukiman namun sepanjang jalan lintas timur. Salah satu upaya yang dilakukan oleh Dinas Lingkungan Hidup (DLH) Pelalawan adalah dengan menerbitkan Himbauan Pembatasan, Pengurangan & Pemilahan sampah dengan sosialisasi kepada masyarakat. Membantu program dari DLH tersebut diwujudkan dengan kegiatan Pengabdian kepada Masyarakat yang akan dilakukan di salah satu Daerah yang cukup padat pemukiman di pangkalan Kerinci Timur yakni daerah jalan Sakura. Kegiatan pengabdian ini melibatkan Kepala sekolah, Guru dan wali murid untuk dapat mengikuti Penyuluhan Pemanfaatan Sampah Rumah Tangga untuk Pembuatan Kompos Menggunakan Home Composter. Berdasarkan hasil kegiatan antusias dari peserta sangat baik serta terjadi peningkatan pemahaman peserta terkait isu mengenai permasalahan sampah yang terjadi di Pelalawan khususnya Pangkalan Kerinci.
Analisis Bibliometrik Tren Publikasi pada Kajian Risiko Sistem Manajemen Keamanan Informasi Nuraini Rahmad; Riri Nasirly; Fadli Arsi; Fachri Ibrahim Nasution
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.33423

Abstract

Security risks cover all aspects, including users usually feel lost or there is a leak of personal data, so there are often complaints by users who feel dissatisfied with a company. Risk management of information security is a methodology to identify and assess security risks by implementing, controlling and handling risks to protect an organization's interests. This research examines the bibliometric characteristics and trends of articles on “Risk of Information Security Management System”. Data from the Scopus database was collected, published between 1987 and 2023. Through searching the Scopus database, 1,351 articles were found. Bibliometric analysis was conducted using the vosviewer tool to visualize the research trends of this study. “Risk Management” and ‘Information Security Management Systems’ articles were found in 165 institutions and 87 countries. The bibliometric analysis revealed that Norges Teknisk-Naturvitenskapelige University had the most “Risk Management” and “Information Security Management Systems” research publications, with a total of 28 documents.
Pengendalian Resiko Kecelakaan Kerja dengan Metode Job Safety Analysis pada Pekerja Pemanen Kelapa Sawit PT. Mitra Unggul Pusaka Kebun Segati Wiranata, Rendi; Nasirly, Riri; Nurjanah, Siti
JURNAL RISET INOVASI DAERAH Vol. 2 No. 1 (2024): Journal of Regional Research and Innovation (RIVDA)
Publisher : Badan Riset dan Inovasi Daerah Kabupaten Pelalawan

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

Abstract

Job Safety Analysis method is a safety management technique that focuses on identifying hazards and controlling hazards related to the series of work or tasks to be carried out. One of the causes of work accidents is due to worker negligence while working. This literature review was carried out using the traditional literature review method. Article sources were obtained from the Google Scholar database and the Garuda Portal, with a year range from 2018 – 2022.  The keywords used are 'work accident and job safety analysis articles' and 'work accidents and job safety analysis'. The research results show that the cause of work accidents that often occur is the use of personal protective equipment (PPE). Apart from that, there are human factors such as unsafe actions and still lack of knowledge about work safety. The research results also show that every job has a risk of accidents, so you should always prioritize safety and focus on doing the job.
Dampak Persepsi Konsumen Terhadap Kualitas Layanan Di Bacarito Kopi Maidawati; M.Olan Ayji; Riri Nasirly
Jurnal Sains Dan Teknologi | E-ISSN : 3063-9980 Vol. 1 No. 3 (2025): Januari - Maret
Publisher : GLOBAL SCIENTS PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62379/jsit.v1i3.239

Abstract

This research is motivated by the problem of unstable sales every year in Bacarito Kopi Padang. This is due to the inadequate quality of service, including parking that is not too wide and less regular as well as the service of some baristas who are less friendly and less smiling. The purpose of the study to determine the quality of Service Bacarito coffee in improving consumer satisfaction by using the Servperf method. Proposed improvements that need to be improved and improved on Bacarito coffee using IPA method. There are two methods used, namely Servperf and IPA. The Data used is in the form of primary data, namely data from questionnaires that have been distributed to 100 respondents with alternative answers using a Likert scale. The results showed the quality of Service Bacarito coffee in improving consumer satisfaction by using the Servperf method of 0,89. This means that consumers have not been satisfied with the quality of service provided, it is characterized by Q ≤ 1 which is 0,89 < 1. The IPA method in the Cartesian diagram shows that 4 of the 24 attributes used for proposed improvements are in quadrant I. The main priority for proposed improvements is in the attributes regarding menu information that must be clear, employee politeness and friendliness, parking area security and procedures for complaining about problems. This research can provide recommendations for business actors in the food and beverage industry to improve and increase the quality of service to consumers.
Pemodelan karakteristik pengeringan pada proses pengeringan nanas (ananas comosus) Nasution, Fachri Ibrahim; Rahman, Arief Fazlul; Laila, Widya; Nasirly, Riri; Arsi, Fadli
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 1 (2025): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i1.42020

Abstract

The thin layer model describes the drying process uniformly, regardless of the control mechanism. Fundamentally, using experimental data on dried materials can be explained by the method used. The purpose of this research is to determine the characteristics of the pineapple drying process using a thin layer model. Drying using the oven method at 60°C. The thin layer drying model uses Newton, logarithmic, and Midilli models. The statistical parameters used are R2 and SSE. The water content obtained did not differ much between the two varieties, namely 13, 27, and 13.14 (% db). The results of the comparison of the three models used lead to different results with R² values ​​of 0.89–0.96 and SSE 0.0095–0.0013 based on the non-linear regression analysis used. The Midilli model shows the best results with R² parameters of 0.06 and 0.94 and SSE of 0.0019 and 0.0025..
Perbandingan tiga metode peramalan pada permintaan CPO di PT. Inti Indosawit Subur Arsi , Fadli; Nasirly, Riri; Nurhikmah, Nurhikmah
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 1 (2025): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i1.42227

Abstract

Tujuan penelitian ini mengidentifikasi metode peramalan yang paling tepat untuk meramalkan permintaan Crude Palm Oil (CPO) di PT. Inti Indosawit Subur menggunakan Software WinQSB dan memilih hasil peramalan nilai akurasi yang terkecil MSE, MAE dan MAPE serta nilai akurasi yang lebih aktual. Dari hasil penelitian perhitungan peramalan permintaan Crude Palm Oil (CPO) pada PT. IIS dapat diidentifikasikan metode peramalan yang paling tepat adalah metode Moving Average (5 bulanan) dengan nilai pengukuran akurasi hasil peramalan adalah Mean Absolute Deviation (MAD) 504.5714, Mean Square Error (MSE) 452789.3 dan Mean Absolute Percentage Error 14.34859.
Comparison of Machine Learning Algorithms for Palm Oil Fresh Fruit Bunch (FFB) Ripeness Nasirly, Riri; Arsy, Fadli; Rohatul, Qolby
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 69 No 1 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v69i1.523

Abstract

Determining the maturity level of FFB is crucial because it directly affects the quality and quantity of palm oil produced. Ripe FFB has high oil content, ensuring better-quality palm oil. Traditional methods include visual inspection, manual sampling, and physical testing, which are labor-intensive and subjective and can result in inconsistencies and errors. Machine learning algorithms can analyze datasets quickly and accurately, while also identifying patterns and features that are not easily visible to humans. Therefore, the aim of this study is to examine and evaluate the effectiveness of machine learning algorithm classifiers in determining oil palm FFB ripeness. The algorithms used in this research for classification analysis are Logistic Regression, Support Vector Machines (SVM), k-Nearest Neighbors (k-NN), Neural Networks (NN), and Naïve Bayes. In this research, the analysis was carried out using the Orange data mining tool, which carried out data analysis and data visualization. The results of performance evaluation was tested, and assessment (cross-validation accuracy estimation), ROC (Receiver Operating Characteristic) analysis, and confusion matrix. The best models were Neural Network, Logistic Regression and SVM. Naïve Bayes appears to have lower performance. The results using the prediction widget show that logistic regressing has the best accuracy.
Analisis Mutu Madu Trigona Kelompok Tani Hutan Tambak Mandiri di Desa Tambak Kecamatan Langgam, Riau Prendika, Wimpy; Mutia AR, Reiza; Nasirly, Riri; Nasution, Fachri Ibrahim; Rannando, Rannando; Rahman, Arief Fazlul; Arsi, Fadli
Jurnal Pengabdian Masyarakat Indonesia Vol 5 No 3 (2025): JPMI - Juni 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.3500

Abstract

Beredarnya madu palsu atau madu kualitas rendah, dan kurangnya pemahaman petani tentang standar mutu madu menyebabkan kehawatiran akan kualitas mutu madu. Pengujian mutu madu dapat dilakukan sesuai Standar Nasional Indonesia (SNI) nomor 8664:2018 meliputi uji bau, rasa, kadar air, uji aktivitas enzim diatase (DN), uji kadar Hidroximetilfurfural (HMF), uji kadar gula pereduksi dan sukrosa. Hasil pengujian kualitas mutu madu trigona Kelompok Tani Hutan Tambak Mandiri memenuhi kriteria SNI dimana hasil bau dan rasa memenuhi syarat mutu khas madu, kadar air 26,57%, aktivitas enzim diatase minimal 1,39 DN, kadar HMF 0,4 mg/kg, kadar gula pereduksi dan sukrosa sebesar 38,6 dan 1,3% b/b. Hasil pengujian mutu madu diharapkan memberikan dampak peningkatan pengetahuan tentang mutu madu, Kesejahteraan Ekonomi, Peningkatan Produksi dan Kualitas, Kemandian Ekonomi, Keberlanjutan Usaha dan Peningkatan Kesejahteraan Kelompok Tani.
Risk Analysis of Musculoskeletal Disorders (MSDS) Among Fresh Fruit Bunch (FFB) Loaders at PT. XYZ Arsi, Fadli; Nasirly, Riri; Rahmat, Nuraini; Fachri Nasution; Hutasoit, Lidya Septriana
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 1 (2025): Maret 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i1.226

Abstract

This study aims to identify the risk of musculoskeletal disorders (MsDs) among fresh fruit bunch (FFB) loading workers at Afdeling 6 of PT. XYZ, Pelalawan. A quantitative approach was used with the Nordic Body Map (NBM) and Rapid Entire Body Assessment (REBA) as research instruments. The NBM results indicated that the most frequently reported discomfort was in the back, upper arms, wrists, and legs. Meanwhile, the REBA assessment showed that all workers fell into the high-risk category with scores ranging from 8 to 9, indicating the need for immediate changes in work methods. These findings suggest that manual FFB loading activities pose a significant risk of work-related injuries. Therefore, improvements in working posture, the use of ergonomic tools, and better work schedule arrangements are necessary to reduce the risk of muscle injuries among workers..