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Implementasi Sistem Monitoring Security Berbasis Web di Komplek Bulak Jakarta Timur Matheos Sarimole, Frencis; Akbar, Yuma; Novianto, Firza; Praja Raymond , Samuel; Awang Hariman, Aloisius
Jurnal Pendidikan Tambusai Vol. 6 No. 1 (2022): April 2022
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (686.635 KB)

Abstract

Mengamankan suatu daerah menjadi tugas wajib bagi security dan juga pengurus, hal tersebut menjadi sulit apabila kurangnya personil security yang berjaga di suatu daerah, dalam hal ini penilitan dilakukan pada komplek bulak RT.02/RW.07. Solusi dari permasalah tersebut yang peniliti lakukan adalah membuat aplikasi patroli security yang melibatkan warga untuk melakukan pelaporan apabila mengalami atau mencurigai tindakan kriminal. Menggunakan metode waterfall untuk membagun aplikasi, aplikasi yang dibuat menggunakan bahasa pemrograman javascript, menggunakan framework react JS untuk frontend dan menggunakan framework express JS untuk backend aplikasi tersebut berbasis web sehingga mudah di akses. Aplikasi yang dibangun mampu membantu security yang sedang berpatroli karena pelaporan dari warga dapat langsung diterima oleh security untuk langsung datang ke tempat kejadian.
IMPLEMENTASI SISTEM INFORMASI PENGELOLAAN BANTUAN WARGA KAMPUNG PULOJAHE JAKARTA TIMUR BERBASIS WEB Nur Arif Khairudin; Veri Arinal; Frencis Matheos Sarimole; Yuma Akbar; Dava Septya Arroufu; Anita Rosiana; Rizky Adawiyah
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 6, No 1 (2022): Maret
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v6i1.7881

Abstract

ABSTRAKDi era pandemi Covid-19 yang terjadi saat ini telah membawa dampak besar di berbagai negara, termasuk di negara Indonesia. Setiap negara mempunyai kebijakan sendiri dalam menangani wabah ini, mulai dari diwajibkan untuk menjaga jarak, penerapan protokol kesehatan, hingga adanya penyaluran bantuan sosial dari pemerintah dengan tujuan terpenuhi nya semua kebutuhan masyarakat terutama yang terdampak langsung akibat pandemi ini. Bantuan sosial tersebut bermacam macam, diantaranya adalah Bantuan Sosial Tunai, Bantuan Sembako, Program Keluarga Harapan, dan masih banyak lagi. Terkait sistem untuk pendataan masyarakat yang menerima bantuan sosial juga menjadi sangat penting sehingga data warga yang terpilih mendapatkan bantuan sosial lebih tepat sasaran dan juga lebih akurat. Oleh karena itu, perlu dibuatkan suatu sistem pengelolaan bantuan agar dapat membantu pengurus RT untuk menyalurkan bantuan sosial secara lebih akurat dan efisien. Tujuan dilakukannya pengabdian ini adalah meningkatkan ketepatan dalam penyaluran bantuan dari pemerintah kepada seluruh masyarakat. Dalam pembuatan sistem informasi pengelolaan bantuan berbasis web yang efektif, efisien dan akurat perlu menggunakan metode waterfall atau metode pengembangan perangkat lunak dengan melalui tahapan observasi, Analisis Kebutuhan atau Wawancara, Studi pustaka, Desain sistem, Implementasi dan sistem testing, dan Maintenance sistem. Manfaat yang di dapat dari pengabdian ini yaitu hasil analisa dapat digunakan untuk merancang sistem informasi pengelolaan bantuan sosial di Kampung Pulojahe, RT 006 RW 014 Jakarta Timur. Kata kunci: bantuan sosial; pengelolaan bantuan; warga ABSTRACTIn the current era of the Covid-19 pandemic, it has had a major impact in various countries, including Indonesia. Each country has its own policy in dealing with this outbreak, starting from being required to maintain distance, implementing health protocols, to distributing social assistance from the government with the aim of meeting all community needs, especially those directly affected by this pandemic. There are various kinds of social assistance, including Cash Social Assistance, Basic Food Assistance, Family Hope Program, and many more. Regarding the system for collecting data on people who receive social assistance, it is also very important so that the data on citizens who are selected to receive social assistance is more targeted and also more accurate. Therefore, it is necessary to develop an aid management system in order to assist RT management in distributing social assistance more accurately and efficiently. The purpose of this service is to increase accuracy in the distribution of assistance from the government to the entire community. In making an effective, efficient and accurate web-based assistance management information system, it is necessary to use the waterfall method or software development method by going through the stages of observation, needs analysis or interviews, literature study, system design, implementation and system testing, and system maintenance. The benefit from this service is that the results of the analysis can be used to design an information system for the management of social assistance in Pulojahe Village, RT 006 RW 014 East Jakarta. Keywords: social assistance; assistance management; resident
IMPLEMENTASI MONITORING NILAI AKADEMIK DAN PRESENSI SISWA BERBASIS WEB PADA SMP IDN : THE IMPLEMENTATION OF WEB-BASED MONITORING OF ACADEMIC GRADES AND STUDENT ATTENDANCE AT IDN JUNIOR HIGH SCHOOLS Mesra Betty Yel; Yuma Akbar; Frencis Matheos Sarimol; Abdulloh; Ari Ramadhan; Fadhil Khanifan Achmad; Untung Wahyudi
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 5 No 2 (2022): APTEKMAS Volume 5 Nomor 2 2022
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/apts.v5i2.4648

Abstract

Academic value and student presence play an important role for every process of teaching and learning activities, especially to find out the level of learning success during school. However, these activities have not been carried out optimally because parents still experience difficulties in monitoring their child's learning activities in school and storing their data is still using paper stored in school documents so that data loss is easy. In analyzing, researchers use the SWOT (Strength, Weakness, Opportunity, Threat) method to analyze strengths, weaknesses, opportunities and threats. Researchers can conclude that with the application of monitoring academic values and attendance students are expected to be able to overcome these problems, this system is not just a data input media student presence and academic value but can also be used as a medium of attendance information and student academic value for parents so that he can monitor his son's daughter while in school. With the application of academic values and attendance students can reduce data loss and foster a sense of parental trust in school.
Perancangan Sistem Informasi Warga di Rw 01 Kelurahan Kebon Bawang Berbasis Web Frencis Matheos Sarimole; Untung Surapati; Eddy Purwandono; Lutfi Karim; Randitia Ridad Diadi; Achmad Syaeful; Andri Putra Wibawa
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.469

Abstract

Rukun Warga 01 is an area located in Kebon Bawang Village, Tanjung Priok District, Central Jakarta. Where, currently RW 01 services are still carried out conventionally, starting from population data management, administration in the form of cover letters, disseminating information from RW to each RT. Data processing is currently done by recording in the bookkeeping archive. Dissemination of information to residents still relies on information boards or through person to person, and administrative letters such as cover letters have not implemented computerized methods or are still using manuals. Knowing this, the current system is considered to be still less effective if used continuously it can make it difficult to find data, errors often occur and the distribution of information is uneven. Therefore, a website-based information system was created. To support this, the authors collect information through observation, interviews, literature study. The system development methodology used is the SDLC (System Develop life Cycles) method using the Waterfall model. This website is made with PHP programming language and MySQL as database. The results of the research This information system makes a computerized system that makes it easier for RW administrators to collect citizen data and provide information that is accurate and fast, and evenly distributed
Perancangan Sistem Informasi Warga di Rw 01 Kelurahan Kebon Bawang Berbasis Web Frencis Matheos Sarimole; Untung Surapati; Eddy Purwandono; Lutfi Karim; Randitia Ridad Diadi; Achmad Syaeful; Andri Putra Wibawa
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.469

Abstract

Rukun Warga 01 is an area located in Kebon Bawang Village, Tanjung Priok District, Central Jakarta. Where, currently RW 01 services are still carried out conventionally, starting from population data management, administration in the form of cover letters, disseminating information from RW to each RT. Data processing is currently done by recording in the bookkeeping archive. Dissemination of information to residents still relies on information boards or through person to person, and administrative letters such as cover letters have not implemented computerized methods or are still using manuals. Knowing this, the current system is considered to be still less effective if used continuously it can make it difficult to find data, errors often occur and the distribution of information is uneven. Therefore, a website-based information system was created. To support this, the authors collect information through observation, interviews, literature study. The system development methodology used is the SDLC (System Develop life Cycles) method using the Waterfall model. This website is made with PHP programming language and MySQL as database. The results of the research This information system makes a computerized system that makes it easier for RW administrators to collect citizen data and provide information that is accurate and fast, and evenly distributed
Penerapan Sistem Informasi Inventaris Barang Berbasis WEB di RT 009 RW 07 Halim Perdana Kusuma Sutisna; Frencis Matheos Sarimole; Yuma Akbar; Fahmi Chairulloh; Marjuki; Feni Putriani; Meilisa
Jurnal Pendidikan Sains dan Komputer Vol. 2 No. 01 (2022): Artikel Riset Periode Februari 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1114.391 KB) | DOI: 10.47709/jpsk.v2i01.1393

Abstract

Dewasa ini, kebutuhan untuk pelayanan yang baik dan maksimal sangat diperlukan. Masyarakat memerlukan akses serta kebutuhan akan pelayanan yang tepat dan cepat, seperti halnya daerah RT 009 RW 07 Halim Perdana Kusuma, Jakarta Timur yang pada saat ini sedang berusaha untuk berkembang menjadi sebuah daerah yang lebih maju dan lebih baik dari segi pelayanan masyarakat. Pelayanan masyarakat di golongan RT dan RW sudah cukup baik namun belum terkelola dengan begitu baik, nilai terendah dari tiga besar pelayanan masyarakat adalah tentang pelayanan inventaris RT serta sarana dan prasarana. Dalam beberapa kasus ketika salah satu warga meminjam sarana prasarana belum terdata dengan jelas, banyak sarana prasarana yang hilang. Kendala-kendala ini tentunya yang menjadi salah satu kendala bagi pengurus RT dan RW setempat. Berdasarkan kendala yang terjadi saat ini, menjadi ajuan bagi peneliti untuk dapat merancang aplikasi menggunakan teknologi berbasis WEB sehingga dapat membantu pengurus RT dan RW dalam mengurus data dan proses pengelolaan inventaris yang dimiliki. Dalam hal pengembangan sistem, kami menggunakan metode prototype yang dimana dimaksudkan sebagai pengembangan yang dapat dilakukan secara terus menerus. Dengan adanya WEB inventaris kampung Asri RT 009 Halim Perdana Kusuma, kegiatan keluar masuk barang invetaris dapat dengan mudah tercatat. Pengurus RT 009 Halim Perdana Kusuma merasakan manfaat yang baik dari segi pencatatan keluar masuk barang, kecepatan data saat dibutuhkan, dan keakuratan pergerakan data yang dipinjam dapat terpantau dengan baik sehingga jika ada yang lupa mengembalikan dapat segera untuk diingatkan.
Classification Of Guarantee Fruit Murability Based on HSV Image With K-Nearest Neighbor Frencis Matheos Sarimole; Muhammad Ilham Fadillah
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (522.607 KB) | DOI: 10.37385/jaets.v4i1.929

Abstract

Guava bol is one of the fruits from Indonesia that is favored by many Indonesian people. The guava itself has a soft and dense flesh texture compared to water guava. The guava itself has a pink color if it is raw but if the guava is ripe it will be dark red. From a glance, when viewed from human vision, it is very easy to distinguish between them, but from most people it is still difficult to distinguish which guava is ripe, half-ripe and unripe guava because of differences in opinion from one human eye to another. Based on these problems, researchers have developed a system that is able to detect the maturity level of guava fruit by utilizing the Hue Saturation Value (HSV) feature extraction with K-Nearest Neighbor (KNN). The data used in this study were 465 datasets which were divided into 324 training data and 141 test data. The data had classes, namely ripe, half-cooked, and raw. The data is then classified using the K-Nearest Neighbor method by calculating the closest distance with a value of K = 3. From this study resulted in an accuracy of 97.16%.
Classification of Maturity Levels in Areca Fruit Based on HSV Image Using the KNN Method Frencis Matheos Sarimole; Anita Rosiana
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (423.475 KB) | DOI: 10.37385/jaets.v4i1.951

Abstract

Areca nut (Areca catechu) is a kind of palm plant that grows in Asia and Africa, the eastern part of the Pacific and in Indonesia itself, areca nut can also be found on the islands of Java, Sumatra and Kalimantan. At the stage of classifying the maturity of the betel nut so far, it is still using the manual method which at that stage has subjective weaknesses. Based on these problems, researchers will create a system that is able to classify the level of maturity of areca nut using HSV feature extraction with assistance at the classification stage using the KNN method. In this study, 842 datasets were used which were divided into 3 types of classes, namely ripe, unripe and old fruit. The dataset was divided into 683 training data and 159 test data. In the next stage, the data is tested using the K-Nearest Neighbor method by calculating the closest distance using k = 1. From the results of the calculation of the closest distance k1 produces an accuracy rate of 87.42%. Kata kunci— Matlab, Areca Ripeness, KNN, HSV.
Classification of Durian Types Using Features Extraction Gray Level Co-Occurrence Matrix (GLCM) AND K-Nearest Neighbors (KNN) Frencis Matheos Sarimole; Achmad Syaeful
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (451.242 KB) | DOI: 10.37385/jaets.v4i1.959

Abstract

Durian is one of the most popular fruits because it has a delicious taste and distinctive aroma. It has different shapes and types, especially from thorns and different colors and has fruit parts that are also not the same as other parts. In terms of fruit selection, care must be taken because consumers generally still find it difficult to distinguish physically identified types of Durian fruit due to limited knowledge of the types of Durian fruit and require a relatively long time and accuracy in sorting. Therefore, there is a need for a method to sort the types of Durian fruit effectively and efficiently. Namely image segmentation based on the classification of the types of Durian fruit to help consumers. The method used is Gray Level Co-Occurrence Matrices for feature extraction, while to determine the proximity between the test image and the training image using the K-Nearest Neighbor method based on texture based on the color of the Durian fruit obtained. Extraction features using the GLCM method based on angles of 0°, 45°, 90° and 135°. Then the KNN method is used for the classification of characteristic results using K = 3. In this study, 1281 data training was used and 321 data testing was used, resulting in an accuracy of 93%.
KLASIFIKASI JENIS JAMUR MENGGUNAKAN EKSTRAKSI FITUR GLCM DAN K-NEAREST NEIGHBOR ( KNN ) Frencis Matheos Sarimole; Randitia Ridad Diadi
Jurnal Informatika Teknologi dan Sains Vol 4 No 3 (2022): EDISI 13
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (276.471 KB) | DOI: 10.51401/jinteks.v4i3.1996

Abstract

Jamur adalah organisme eukariotik yang dibagi menjadi kingdom tertentu yang disebut "Fungi". Jamur memiliki karakteristik yang berbeda dengan makhluk lainnya. Jenis jamur yang paling terkenal adalah jamur tiram dan jamur kuping yang populer di pasar dan toko bahan makanan. hal ini menyebabkan masyarakat masih belum banyak mengenal jenis jenis jamur lainnya. Dalam mengidentifikasi jenis jamur untuk mempermudah masyarakat  mengetahui ciri-ciri dari beberapa jenis jamur. Oleh karena itu proses klasifiksi jamur perlu dilakukan secara otomatis dengan sistem komputer sehingga diharapkan dapat mempermudah masyarakat untuk mengenali jenis-jenis jamur. Pada penelitian ini menggunakan metode GLCM untuk ekstraksi ciri dan metode KNN untuk proses klasifikasi jenis jamur. Data yang digunakan sebanyak 607 gambar yang di peroleh dari website Kaggle dengan judul "Mushrooms classification" dengan 5 macam dataset Jamur. Sebanyak 80% gambar sebagai data training dan 20% gambar lainnya untuk data uji tingkat akurasi tertinggi yang didapatkan sebesar 73%.