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All Journal Jurnal Aplikasi Pelayaran dan Kepelabuhanan Jurnal Ekonomi, Teknologi dan Bisnis JPMP Riwayat: Educational Journal of History and Humanities
Akhmad, Ekka Pujo Ariesanto
Program Studi Manajemen Pelabuhan Dan Logistik Maritim, Fakultas Vokasi Pelayaran, Universitas Hang Tuah
Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation

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Evaluation of Stuffing Out in the Warehouse PT. Lyon Oceanic Trans Surabaya Vernandy, Anggy Ryo; Akhmad, Ekka Pujo Ariesanto; Hidayat, Sapit
JURNAL APLIKASI PELAYARAN DAN KEPELABUHANAN Vol 15 No 1 (2024): bulan September
Publisher : Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/japk.v15i1.130

Abstract

This study aims to evaluate the obstacles causing delays in the stuffing out process at the warehouse of PT. Lyon Oceanic Trans Surabaya. The research method used is a qualitative approach by collecting data through observations and in-depth interviews with warehouse workers and managers. The results show that the delay in stuffing out is caused by several main factors, namely the late delivery of goods from customers to the warehouse and the lack of support tools such as forklifts, thus relying only on human labor. The conclusion of this study indicates the need for increased efficiency in the delivery of goods as well as the addition of facilities and equipment in the warehouse to expedite the stuffing out process.
PELATIHAN KEPEMIMPINAN BAHARI SEJAK DINI BAGI ANAK SD DALAM PENGAMBILAN KEPUTUSAN DI KELURAHAN KEPUTIH SURABAYA Dyah Agustin Widhi Yanti; Mursidi; Ekka Pujo Ariesanto Akhmad
Jurnal Pengabdian Masyarakat Pesisir VOLUME 3 NOMOR 2
Publisher : Universitas Hang Tuah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/jpmp.v3i2.106

Abstract

Tujuan dari kegiatan pengabdian masyarakat ini adalah untuk menanamkan jiwa kepemimpinan bahari sejak dini dalam pengambilan keputusan. Sasaran pengabdian masyarakat adalah anak SD yang berdomisili di Keputih Pompa Surabaya. Diharapkan, kegiatan pengabdian masyarakat, dapat memberi pengalaman, menambah ketrampilan serta kemandirian berpikir maupun berprilaku serta menumbuhkan rasa percaya diri, sehingga anak akan belajar mengatur emosi, mengerti kesalahan dan bermacam ketrampilan lainnya dan bisa bekerja sama. Metode pengabdian masyarakat dengan mengajarkan anak cara mengambil keputusan dengan mengenalkan dunia kebaharian melalui tanya jawab yang berkaitan dengan dunia kebaharian. Hasil kegiatan pengabdian masyarakat adalah anak dapat menjadi lebih mandiri bertanggung jawab, dan percaya diri dan bisa bekerja sama
Analysis of Sea Transport Passenger Services on Passenger Satisfaction at the Gapura Surya Nusantara Terminal Tanjung Perak Port Surabaya Nanda, Mochammad; Akhmad, Ekka Pujo Ariesanto; Prawirosastro, Carlos Lazaro
JURNAL APLIKASI PELAYARAN DAN KEPELABUHANAN Vol 15 No 2 (2025): bulan Maret
Publisher : Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/japk.v15i2.139

Abstract

This research aims to analyze sea transportation passenger services on passenger satisfaction at the Gapura Surya Nusantara Terminal, Tanjung Perak Port, Surabaya. The time used by researchers to conduct research during 6 months Land Practices (PRADA) at the Gapura Nusantara Terminal which is under the auspices of PT. Pelindo. This research uses a qualitative approach with descriptive research type. The data sources used are secondary data and primary data, for data collection techniques in the form of interviews, observation and documentation. The results of this research show that the service at the Gapura Surya Nusantara Terminal is good, seen from the aspects of safety, security, reliability, comfort, such as stretchers, CCTV, security posts, disturbance information, ticket printing machines, waiting rooms, toilets and others. However, there are factors that cause the loss of consumer confidence in the services provided by the Gapura Surya Nusantara Terminal, namely the unavailability of a suggestion box or website to accommodate complaints and suggestions, the condition of the smoking area which is a little dirty due to cigarette butts being thrown away carelessly, apart from that, passengers prefer to smoke. in the front area of ​​the waiting room rather than in a designated smoking room and there is minimal availability of rubbish bins.
Waiting Time Analysis of Passenger Vessels in Jamrud North Terminal Surabaya Sepfani, Ade Putri; Akhmad, Ekka Pujo Ariesanto; Saputra, Toto Dwijaya
JURNAL APLIKASI PELAYARAN DAN KEPELABUHANAN Vol 15 No 2 (2025): bulan Maret
Publisher : Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/japk.v15i2.140

Abstract

This research aims to analyze the waiting time for passenger ships at the North Jamrud Terminal, Surabaya. This research method used a qualitative method with a descriptive approach. The data sources used are primary data and secondary data with data collection techniques in the form of interviews with 4 office staff and 1 SPJM manager, direct observation and documentation. The results of this research show that there are still waiting times that do not meet port performance standards at the North Jamrud Terminal, Surabaya. Waiting time for passenger ships at the Jamrud Utara terminal in Surabaya is influenced by several factors such as bad weather such as heavy rain and storms, making it difficult for ships to dock at the pier and extending the ship's time aloft. Inconsistency in the ship's arrival schedule, whether the ship arrives earlier than scheduled or late. As well as the effectiveness of guide services, guide services that are not optimal in busy water situations can worsen waiting times. The results of the analysis for the period October to December 2023, the waiting time at the Jamrud Utara terminal in Surabaya reached 2.53 hours, so it does not comply with port performance standards. Meanwhile, the ship's approach time at the North Jamrud Terminal, Surabaya, shows that the port service performance is good, because it is below the average approach time standard at the North Jamrud Terminal, Surabaya.
Clustering Captured Fish Exports with Fuzzy C-Means Ekka Pujo Ariesanto Akhmad; Budi Priyono
Riwayat: Educational Journal of History and Humanities Vol 8, No 1 (2025): Januari, Special Issue on "Educational design research for human beings learning
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v8i1.43962

Abstract

By export destination country group, data on Indonesia's fresh/chilled captured fish exports are collated and tabulated. Nevertheless, export amounts have not been separated in the table of fresh/chilled fish exports. The clustering method will be used to tackle the fresh/chilled fish export data clustering problem. This study is to investigate the use of partition-based clustering, namely Fuzzy C-Means (FCM), to assess export data of caught fish from the primary destination nations using machine learning. The Buletin Statistik Perdagangan Luar Negeri Ekspor Menurut Kelompok Komoditi dan Negara, October 2023 is where the research's data came from. The research variables in this study, which comprise net weight of products (kg) and FOB (free on board) value, are based on data collected between 2022 and 2023. Following a cluster analysis, two clusters are produced: one for high export levels and another for medium or low export levels.
Data Mining Menggunakan Regresi Linear untuk Prediksi Harga Saham Perusahaan Pelayaran Akhmad, Ekka Pujo Ariesanto
JURNAL APLIKASI PELAYARAN DAN KEPELABUHANAN Vol 10 No 2 (2020): bulan Maret
Publisher : Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/japk.v10i2.13

Abstract

The movement of the closing price of BULL shares tends to experience price variations every day. Investors need appropriate action, so that existing risks can be reduced by knowing the ups and downs of stock prices in the future and predicting the optimal policy steps to make appropriate share buying / selling decisions. The purpose of this study is to apply data mining using linear regression to predict the share price of shipping companies. The research location is on the Indonesia Stock Exchange, Jakarta. The population in this study are all shipping companies listed on the Indonesia Stock Exchange. The type of nonprobability sampling chosen was purposive sampling and quota sampling. The purposive sampling used is 1 shipping company, namely PT. Buana Lintas Lautan, Tbk (BULL). The sampling quota used in this study is the time series data for the daily opening price, the highest price, the lowest price, the closing price, and the volume of shares during the BULL daily period for 1 year 2 months between June 2019 and July 2020. This study uses the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. The data mining process based on CRISP-DM consists of 6 phases, namely Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The results showed that there is still a difference between the closing price of the output of the test data and the closing price of the actual shares on the stock exchange. Evaluation of the value of Root Mean Square Error (RMSE) shows the plus number 7.522 from the actual data on the closing price of shares in the daily period of PT. BULL.
Evaluasi Telemarketing Kartu Kredit Bank Menggunakan Algoritma Genetika untuk Seleksi Fitur dan Naive Bayes Akhmad, Ekka Pujo Ariesanto
JURNAL APLIKASI PELAYARAN DAN KEPELABUHANAN Vol 10 No 1 (2019): bulan September
Publisher : Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/japk.v10i1.21

Abstract

The bank marketing department has collected data from bank customers or customers by marketing or socializing credit cards by telephone (telemarketing). Evaluation of credit card telemarketing that has been done by banks still lacks results and is efficient. One appropriate way to evaluate bank credit card telemarketing reports is to use data mining techniques. The purpose of using data mining is to determine the trends and patterns of customers who have the opportunity to subscribe to credit cards offered by banks. The research method uses Cross Industry Standard Process for Data Mining (CRISP-DM) with Genetic Algorithms for Feature Selection (GAFS) and Naive Bayes (NB). The results showed the number of attributes in the bank credit card telemarketing dataset were 15 attributes consisting of 14 ordinary attributes and 1 special attribute. The bank telemarketing dataset contains high-dimensional data, so the GAFS method is applied. After applying the GAFS method, it is obtained that 7 optimal attributes consist of 6 ordinary attributes and 1 special attribute. Six ordinary attributes include pekerjaan, balance, rumah, pinjaman, durasi, poutcome. While special attributes are target. The results showed the NB algorithm has an accuracy value of 86.71%. GAFS and NB algorithms increase the accuracy value to 90.27% for predictions of bank customers who take credit cards.
Analisis Capital Budgeting Dalam Rencana Investasi Aktiva Tetap di Perusahaan Pelayaran (Studi Kasus Pembelian Kapal Peti Kemas di PT. SI) Akhmad, Ekka Pujo Ariesanto
JURNAL APLIKASI PELAYARAN DAN KEPELABUHANAN Vol 9 No 2 (2019): bulan Maret
Publisher : Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/japk.v9i2.28

Abstract

The purpose of this study is to apply a capital budgeting analysis in the investment plan of fixed assets in shipping companies, from this study it can be seen whether the addition of fixed assets can be said to be feasible or not to be carried out. In terms of financial aspects, the data used are data on investment needs, production plans, depreciation, results of operations, profits and cash flow. The capital budgeting method or investment feasibility assessment used is the Payback Period, Net Present Value, Internal Rate of Return, and Benefit Cost Ratio. The results of research investment in the purchase of container ships PT. SI is eligible according to the calculation of Payback Period, Net Present Value (NPV), and Internal Rate of Return (IRR). The Payback Period is 3.5 months faster than the economic life of container ships, which is 20 years. NPV has a positive value, which is $ 170,007,712, and IRR has a value of 13.47% or 0.47% above bank interest, which is 13%. However, from the calculation of the Benefit - Cost Ratio produces a value of 0.161. Therefore, investment in the purchase of container ships PT. SI will be rejected.
Pengembangan Media Berbasis Komputer Untuk Pembelajaran Pengisian Pemberitahuan Ekspor Barang dan Pemberitahuan Impor Barang di Jurusan Ketatalaksanaan Pelayaran Niaga Program Diploma Pelayaran Universitas Hang Tuah Surabaya Akhmad, Ekka Pujo Ariesanto
JURNAL APLIKASI PELAYARAN DAN KEPELABUHANAN Vol 9 No 1 (2018): bulan September
Publisher : Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/japk.v9i1.38

Abstract

The learning of filling in export notification of goods (PEB) and notification of import ofgoods (PIB) conducted in the department of Ketatalaksanaan Pelayaran Niaga (KPN) of ProgramDiploma Pelayaran (PDP) of the Universitas Hang Tuah (UHT) Surabaya still uses lecture andpresentation methods using OHP (Over Head Projector) slides. OHP slide presentations haveweaknesses in the material, presentation display, user interaction, and program interactions. Thereforeit is necessary to develop computer-based media in order to improve the effectiveness of PEB and PIBfilling learning. The problem of the effectiveness of learning to fill PEB and PIB will be solved byResearch and Development method. The research steps include potential problems, needs analysis,design, implementation, expert validation, product revision I, user trials, product revision II, and masspublications. The test respondents consisted of 41 students of KPN semester VI and 4 lecturers of KPNPDP UHT. Methods of data collection is done by documentation and questionnaire. The method usedto analyze the data is with quantitative descriptive analysis techniques in the form of scores andpercentages on a predetermined assessment scale. The results showed that computer-based media ableto improve the effectiveness of learning filling PEB and PIB. Based on the assessment of students andlecturers, computer-based learning media charging PEB and PIB has the average percentage ofindicator value; content equal to 68,41% (effective), view equal to 68,66% (effective), user interactionequal to 79,76% (very effective), and program interaction equal to 79,02% (very effective). The average of new learning performance or using the PEB and PIB charging tutorial program(73.96%) is better than the old learning performance or without using the PEB and PIB chargingtutorial program (37.5%). The statistical test using the left side correlated t test shows t count -34.8354falls on the area of acceptance Ha, so Ha accepted. The alternative hypothesis (Ha) states that the oldlearning performance is smaller than the new learning performance.
Verifikasi Iris Mata Manusia Untuk Menerima Atau Menolak Identitas Yang Diklaim Oleh Penumpang Kapal Akhmad, Ekka Pujo Ariesanto
JURNAL APLIKASI PELAYARAN DAN KEPELABUHANAN Vol 8 No 2 (2018): bulan Maret
Publisher : Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/japk.v8i2.47

Abstract

In the process of identifying the passenger identity of the ship there are some problems that arise is the problem identification and verification, which makes the process inefficient identity recognition. Verification problems will be solved by the method of iris recognition, which proved to be efficiently used to solve problems such as identity recognition process. The results showed that the method is able to verify the iris recognition eye imagery with a 100% success rate for the same test images to the image database of the same eye. Testing different test images with the image database from the same eye (intra-class) generates False Non Match Rate (FNMR) 15,90% and Genuine Acceptance Rate (GAR) can be calculated by the formula GAR = 1 – FNMR, or GAR = 1 – 15,90% the result is 84,10%. Testing different test images with the image database of different eyes (inter-class) generates a False Match Rate (FMR) 27,72%.
Co-Authors Budi Priyono Budi Priyono Dharmawan, Kukuh Aditya Dyah Agustin Widhi Yanti Hidayat, Sapit HUSNA, IMROATUL Latue, Shilsilia Lazaro Prawirosastro, Carlos Maulana, Ajhar Mursidi Mursidi Nanda, Mochammad Prawirosastro, Carlos Lazaro Purwiyanto, Didik Rumlus, Wisnu Sepfani, Ade Putri Sudirman Sudirman Toto Dwi Jaya Saputra Vernandy, Anggy Ryo Wahyu Mas Izudin, Ahmad