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PEMBUATAN GAME 2D HORROR “BLACK, WHITE, AND …” DENGAN PLATFORM WINDOWS Kevin Kevin; Jeanny Pragantha; Darius Andana Haris
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v10i1.17855

Abstract

"Black, White And ..." is a 2D Horror game with a sub-genre psychological horror game developed for Windows PC. This game was made using Unity as the game engine with C# as the programming language. In this game, the player will play as an amnesiac girl who has just awoken. The goal of this game is to search for a way out from the strange black and white world. The player will have to survive from the enemy and traps with the ability to move from the black world to the white world and vice versa. to ward the enemies, the player had to scream. The game has implemented a Voice Recognition feature to differentiate between scream or not scream.  The testing has been done by using blackbox testing, alpha testing, and beta testing method. The test results show that most of the respondents experience a sense of fear and tension as well as the intention to play the game again.
PEMBUATAN STASIUN KERJA DAN ALAT BANTU UNTUK PROSES PELUBANGAN DAN PENGEPRESAN PADA INDUSTRI RUMAHAN DI DESA KEDUNG DALEM, PASAR KEMIS, TANGERANG Agustina Christiani; Ishak Ishak; Priskila Christine Rahayu; Ario Nugroho Suprapto; Kevin Kevin
Journal Industrial Manufacturing Vol 4, No 1 (2019): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v4i1.1269

Abstract

Di Desa Kedung Dalem, Pasar Kemis, Tangerang, terdapat sebuah industri rumahan yang memproduksi bagian atas sandal wanita. Saat ini proses produksinya masih menggunakan alat yang sangat sederhana, seperti palu, mata pelubang dan mata press. Para pekerja yang semuanya wanita mengeluhkan proses pelubangan dan pengepresan cukup melelahkan karena masih dikerjakan secara manual menggunakan palu. Selain itu pekerjaan dilakukan sambil duduk di lantai karena belum ada meja dan kursi kerja. Oleh karena itu, untuk meningkatkan produktivitas dan memperbaiki postur pekerja, maka pada penelitian ini akan dibuat sebuah stasiun kerja yang terdiri dari meja dan kursi kerja serta alat bantu untuk proses pelubangan dan pengepresan bagian atas sandal wanita. Untuk proses perancangan meja, kursi dan alat bantu digunakan metode quality function deployment (QFD). Setelah stasiun kerja dan alat bantu dibuat, dilakukan uji coba dan hasil produksi pelubangan dan pengepresan meningkat dari sebelumnya 84 pasang/jam menjadi 128 pasang/jam atau meningkat sebesar 52,4%. Selain itu, dengan adanya stasiun kerja dan alat bantu, diharapkan dapat mengurangi risiko cedera musculoskeletal pada pekerja, karena  skor RULA(Rapid Upper Limb Assessment) dengan menggunakan stasiun kerja tersebut turun dari sebelumnya 7 menjadi 3.Kata kunci: stasiun kerja, alat bantu, produktivitas, QFD, RULA
Implementasi LDA pada fitur HOG untuk Klasifikasi ASL Menggunakan K-NN Muhammad Ezar Al Rivan; Hafiz Irsyad; Kevin Kevin; Arta Tri Narta
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 2 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v7i2.286

Abstract

Sign Language is alternative way to communication using sign. One of sign language is American Sign Language (ASL). Image from Dataset processed using feature extraction HOG then reduce using Linear Discriminant Analysis (LDA). The reduced feature used to K-Nearest Neighbor classification. There are 3 distance used consist of euclidean, manhattan and chebyshev. The best accuracy obtain from manhattan distance using k=3 with 72,42% precision.
KLASIFIKASI KAIN TENUN BERDASARKAN TEKSTUR & WARNA DENGAN METODE K-NN Kevin Kevin; Janson Hendryli; Dyah Erny Herwindiati
Computatio : Journal of Computer Science and Information Systems Vol 3, No 2 (2019): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (934.621 KB) | DOI: 10.24912/computatio.v3i2.6028

Abstract

Image classification of woven cloth based on texture and color using Gray Level Co-occurrence Matrix (GLCM), Local Binary Pattern (LBP), Color Moments and classification method KNearest Neighbour (KNN) is an application for classifying motive on woven cloth. The development of this application is using Python language programming for classification system and Android studio which using Java language programming as Front-end. Classification system consist of two main process namely feature extraction process and classification process. Feature extraction process is using GLCM, LBP and Color Moments which produce feature vector for every method and classification process is using KNN method. Feature used for classification process is feature vector which has best result. Based on experiment result, the best method that produce best feature vector is LBP method with accuracy percentage higher than other method.  Klasifikasi citra kain tenun berdasarkan tekstur dan warna dengan metode Gray Level Cooccurrence Matrix (GLCM), Local Binary Pattern (LBP), Color Moments dan metode klasifikasi K-Nearest Neighbour (KNN) merupakan aplikasi yang digunakan untuk mengklasifikasi motif yang ada pada kain tenun. Pembuatan aplikasi ini menggunakan bahasa pemrograman Python sebagai sistem klasifikasi dan Android studio yang menggunakan bahasa pemrograman Java sebagai Front-end. Sistem klasifikasi dibagi menjadi dua proses utama yaitu proses ekstraksi fitur dan proses klasifikasi. Proses ekstraksi fitur dilakukan dengan metode GLCM, LBP dan Color Moments yang menghasilkan fitur vektor untuk setiap metode dan proses klasifikasi dilakukan dengan metode K-NN. Fitur yang digunakan dalam proses klasifikasi adalah fiturvektor yang memiliki hasil terbaik. Berdasarkan hasil pengujian yang telah dilakukan, metode yang dapat menghasilkan fitur terbaik adalah metode LBP dengan persentase akurasi lebih tinggi dibandingkan dengan dua metode lainnya.
PENGARUH KOMPOSISI LELEHAN DAN WAKTU CELUP TERHADAP STRUKTUR MIKRO LAPISAN HOT DIP ALUMINIZING PADA BAJA TAHAN KARAT MARTENSITIK moch syaiful anwar; Kevin Kevin; saefudin saefudin; Alfirano Alfirano; Efendi Mabruri
Widyariset Vol 5, No 1 (2019): Widyariset
Publisher : Pusbindiklat - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/widyariset.5.1.2019.21-29

Abstract

Pada material aplikasi suhu tinggi, pelapisan permukaan merupakan hal penting dalam memberikan ketahanan oksidasi dan korosi suhu tinggi, ketahanan erosi dan abrasi. Pelapisan alumunium pada baja tahan karat martensitik AISI 410 melalui metode celup panas (hot dip) cukup efektif untuk memberikan perlindungan pada substrate melalui senyawa-senyawa intermetalik yang terbentuk. Proses hot dip aluminizing dilakukan dengan preparasi penghalusan permukaan sampel menggunakan amplas grit 100, 400, 800, dan 1200. Kemudian sampel dibersihkan menggunakan larutan 15% H2SO4 sebelum dilakukan proses celup panas. Spesimen tersebut dikaitkan menggunakan kawat nikel untuk memudahkan proses pencelupan. Komposisi lelehan Al-Si, waktu pencelupan, dan waktu difusi memberikan pengaruh terhadap lapisan intermetalik yang terbentuk beserta sifat mekanisnya. Telah dilakukan karakterisasi morfologi lapisan hot dip aluminizing pada spesimen baja tahan karat martensitik yang dilapisi oleh Al Murni, 5 %wt Si, 10 %wt Si, dan 15 %wt Si dengan variasi waktu pencelupan 1 menit, 3 menit, dan 5 menit dengan menggunakan SEM – EDS. Pada komposisi lelehan dengan komposisi 5%wt Si dengan perlakuan permukaan yang sama oleh larutan H2SO4 memberikan hasil lapisan intermetalik yang lebih baik. Dapat dilihat dari kehalusan struktur mikro dan ketebalan lapisan yang dihasilkan berdasarkan variasi waktu pencelupan. Unsur Si memberikan pengaruh dalam merubah morfologi struktur antarmuka antara intermetalik dengan substrate.
Efek Pergantian Air dengan Persentase yang Berbeda terhadap Tingkat Kelangsungan Hidup Larva Ikan Kakap Putih (Lates calcarifer) Kevin Kevin; Muzahar; Wiwin Kusuma Atmaja Putra
Intek Akuakultur Vol. 6 No. 1 (2022): Intek Akuakultur
Publisher : Program Studi Budidaya Perairan Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (561.704 KB) | DOI: 10.31629/intek.v6i1.3615

Abstract

This research was carried out on April - June 2021 at the Pengujan Fish Seed Center, Teluk Bintan Districts, Bintan Regency. The purpose of this study was to determine the best percentage of water change for the survival rate of barramundi larvae. This research was conducted using a Completely Randomized Design method (CRD) with 4 treatments and 3 replications consisting of: (1) K (without water change), (2) A (20% water change), (3) B (25% water change) and (4) C (30% water change). The results showed that the optimal percentages of water change was treatments A with a larval survival rate of 19,87±1,00% and a larval absolute length growth of 0,23±0,03 mm.
KLASIFIKASI KAIN TENUN BERDASARKAN TEKSTUR & WARNA DENGAN METODE K-NN Kevin Kevin; Janson Hendryli; Dyah Erny Herwindiati
Computatio : Journal of Computer Science and Information Systems Vol. 3 No. 2 (2019): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v3i2.6028

Abstract

Image classification of woven cloth based on texture and color using Gray Level Co-occurrence Matrix (GLCM), Local Binary Pattern (LBP), Color Moments and classification method KNearest Neighbour (KNN) is an application for classifying motive on woven cloth. The development of this application is using Python language programming for classification system and Android studio which using Java language programming as Front-end. Classification system consist of two main process namely feature extraction process and classification process. Feature extraction process is using GLCM, LBP and Color Moments which produce feature vector for every method and classification process is using KNN method. Feature used for classification process is feature vector which has best result. Based on experiment result, the best method that produce best feature vector is LBP method with accuracy percentage higher than other method.  Klasifikasi citra kain tenun berdasarkan tekstur dan warna dengan metode Gray Level Cooccurrence Matrix (GLCM), Local Binary Pattern (LBP), Color Moments dan metode klasifikasi K-Nearest Neighbour (KNN) merupakan aplikasi yang digunakan untuk mengklasifikasi motif yang ada pada kain tenun. Pembuatan aplikasi ini menggunakan bahasa pemrograman Python sebagai sistem klasifikasi dan Android studio yang menggunakan bahasa pemrograman Java sebagai Front-end. Sistem klasifikasi dibagi menjadi dua proses utama yaitu proses ekstraksi fitur dan proses klasifikasi. Proses ekstraksi fitur dilakukan dengan metode GLCM, LBP dan Color Moments yang menghasilkan fitur vektor untuk setiap metode dan proses klasifikasi dilakukan dengan metode K-NN. Fitur yang digunakan dalam proses klasifikasi adalah fiturvektor yang memiliki hasil terbaik. Berdasarkan hasil pengujian yang telah dilakukan, metode yang dapat menghasilkan fitur terbaik adalah metode LBP dengan persentase akurasi lebih tinggi dibandingkan dengan dua metode lainnya.
Manajemen Keamanan Kilang LNG (Liquefied Natural Gas) Tangguh Bintuni Papua Edy Susanto; Lady Antira; Kevin Kevin; Edo Stanzah; Assyeh Annasrul Majid
Jurnal Penelitian Ekonomi Manajemen dan Bisnis Vol. 2 No. 3 (2023): Agustus : Jurnal Penelitian Ekonomi Manajemen dan Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jekombis.v2i3.1916

Abstract

The security of a company's data information system security plan consists of a strategy and a division of responsibilities, the main objective of which is to reduce risks that have the potential to become a threat to the company's operations. British Petroleum in Indonesia is the Largest Offshore O & G’s operator, as well as the main distributor for domestic natural gas needs. The formulation is the Information Security Management System (ISMS) is a unified system that is structured based on a risk approach for the development, implementation, operation, supervision, maintenance and improvement of corporate information security. The research methodology reviewing literature studies covering BP Tangguh's security management. In its implementation, the company's security protection uses PDCA. British Petroleum (BP) ensures that the safety and identification aspects that are hazard and high risk have been taken directly, assessment security is a series of actions aimed at maintaining the security, integrity and confidentiality of the evaluation or assessment process. The security management system result at BP Tangguh, it is concluded the implementation and application of the security management system at BP Tangguh is optimal because it has a security management system that is very efficient, organized and has a clear legal basis.
Analisa Geologi Struktur Lapangan Geothermal Sarulla Citra Wahyuningrum; Kevin Kevin; Faqqih Badruzzaman
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 3 No. 2 (2023): Juli : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v3i2.518

Abstract

Indonesia is a country with great potential geothermal energy resources. Geothermal resources in Sumatra are mostly located along magmatic arcs that correlate with the seismically active Sumatran Fault. One of the unexploited geothermal resources is located around the Tarutung basin, south of Lake Toba, North Sumatra. The presence of an open fracture or fracture correlates very well with depth. Geological structures consisting of faults, lineages, and volcanic features such as tuff-ring structures or maars were identified as a combination of these methods namely Interpretation of topographic maps and satellite imagery (ASTER DEM) and geological mapping and field verification. In the withdrawal of the geological structure of the Sarulla Geothermal Field there are tectonic effects in the form of transpression, transtension and lineation zones. This is due to tectonic activity from the Great Sumatra Fault in its fault zone. The model along the Sarulla basin also consists of three main layers that form the background structure for the shallow graben located in the center.
The Efficacy of Mediterranean Diet for Erectile Dysfunction in Diabetes Mellitus Patients: A Narrative Review Atmaja, Maxwell; Purnama, Michael; Kevin, Kevin; Aslama, Fathiy Zakaria; Rizkiliano, Ibrahim Hanif; Sudana, Nathan Kunta; I'tishom, Reny
Indonesian Andrology and Biomedical Journal Vol. 5 No. 1 (2024): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iabj.v5i1.57706

Abstract

Background : Male infertility affects millions globally, with 12-15% of Indonesian couples facing conception challenges, 50% of which are attributed to male factors. Despite extensive research, 70% of male infertility cases remain idiopathic. Diabetes, a prominent factor in male infertility, affects 9.3% of the global population, with projections estimating 700 million cases by 2045. Recent studies suggest the Mediterranean diet positively impacts semen parameters, particularly in diabetic individuals. This review aims to explore the Mediterranean diet's effects on fertility in male diabetic patients. Reviews : The literature review employed three databases, focusing on in-vitro, in-vivo, pre-clinical, and clinical studies from 2014-2024. Diabetes, a chronic disease characterized by abnormal blood sugar levels, affects insulin production or effectiveness, leading to complications if left uncontrolled. Erectile dysfunction (ED), prevalent in diabetic men, is attributed to nerve and blood vessel damage from high blood sugar levels. Treatments for ED include PDE5 inhibitors, but alternative plant-based therapies are being explored. Platelet-rich plasma (PRP) has shown promise in animal studies but lacks human trial data. The Mediterranean diet, rich in plant-based foods and healthy fats, may help prevent sexual function deterioration in diabetic individuals. Comprehensive nutrition education and government efforts are crucial in promoting healthy lifestyles and ensuring access to fresh foods. Summary : In conclusion, the Mediterranean diet shows promise as a dietary intervention for improving male fertility in diabetic populations. Further research is warranted to confirm these findings and to explore the mechanisms underlying the effects of the Mediterranean diet on male fertility.
Co-Authors Afdhal, Muhammad Agus Zainul Arifin Agus Zainul Arifin Agusnan, Sri Alfirano Alfirano Amir Mahmud Husein, Amir Mahmud Anderson, Ricky Andri Wijaya Angelus, Michael Aning Kesuma Putri, Aning Kesuma Antira, Lady Ari Mulianta Ginting, Ari Mulianta Ario Nugroho Suprapto Arninda, Arninda Arta Tri Narta Aslama, Fathiy Zakaria Assyeh Annasrul Majid Assyeh Annassrul Majid Atmaja, Maxwell Azhar Hafizhuddin Bachri, Karel Octavianus bagus Mulyawan Bena, Dea Almira Carmel Meiden Catherine Catherine Catherine Olivia Sereati Christian Herdinata Christiani, Agustina Citra Wahyuningrum Dali Santun Naga Darius Andana Haris Dennis Andry, Dennis Dharma Lesmono Dubbert, Juventia Dudi Anandya Dyah Erny Herwindiati Edo Stanzah edy susanto Edy Susanto Efendi Mabruri Enjeli, Margareta Erlita, Erlita Faqqih Badruzzaman Faren Zahra Arimbi Fransiska, Silvia Gunawan, Nico Hafiz Irsyad Halim Putera Siswanto I'tishom, Reny Ishak Ishak Iskandar, Hari Janson Hendryli Jeanny Pragantha Jesselyn, Gloria Iverose Jessicca, Jessicca Johanes Fernandes Andry Kertanegara, I Wayan Alvin Kinley Aritonang Lady Antira Laurentius, Laurentius Lisana Lisana Lumenta, Marly M Ezar Al Rivan Majid , Assyeh Annasrul Majid, Assyeh Annasrul Martha, Lidya Ma’ruf, Nardyawan Arifi Meldawati , Lucyani moch syaiful anwar Muhammad Najmi Mafaza H Muhammad Yudhistira Azis Muzahar Narta, Arta Tri Nasrun, Aja Natasya Natasya Nina Yusnita Yamin Novandyanta, Evan Novario Jaya Perdana Pinandita, Aria Prof. Dr. Ir. Dali S. Naga, MMSI Prya Artha Widjaja Purnama, Michael Purnamawati Helen Widjaja Putra, Mochamad Resya Putri, Rizkya Dwiananda Rahayu Ningsih Rahayu, Priskila Christine Ranope, Jumas Raphael C., Raphael C. Rianto Nurcahyo, Rianto Rizkiliano, Ibrahim Hanif Rofilah, Salsazahra Rostina, Cut Fitri Saefudin Saefudin Seng Hansun Sentosa L., Sentosa L. Setiawan, Johan Siswanto, Felicia Sitorus, Friska Darnawaty Solikah, Al Milatus Stanzah, Edo Sudana, Nathan Kunta Susetyo, Eprafoditus Kristiadi Sutanto, Jessica Levina Suwarno Liang Tandililing, Elia Madatu Theresia Woro Damayanti Viny Christanti M Waruwu, Lilis Risna Wella, Wella Wiwin Kusuma Atmaja Putra Zagoto, Mariana Erfan Kristiani